Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +1 -0
- checkpoint-10/adapter_config.json +4 -4
- checkpoint-10/trainer_state.json +14 -15
- checkpoint-10/training_args.bin +1 -1
- checkpoint-12/adapter_config.json +4 -4
- checkpoint-12/trainer_state.json +17 -18
- checkpoint-12/training_args.bin +1 -1
- checkpoint-14/adapter_config.json +4 -4
- checkpoint-14/trainer_state.json +19 -20
- checkpoint-14/training_args.bin +1 -1
- checkpoint-16/adapter_config.json +4 -4
- checkpoint-16/trainer_state.json +21 -22
- checkpoint-16/training_args.bin +1 -1
- checkpoint-18/adapter_config.json +4 -4
- checkpoint-18/trainer_state.json +24 -25
- checkpoint-18/training_args.bin +1 -1
- checkpoint-2/adapter_config.json +4 -4
- checkpoint-2/trainer_state.json +5 -6
- checkpoint-2/training_args.bin +1 -1
- checkpoint-20/adapter_config.json +4 -4
- checkpoint-20/trainer_state.json +26 -27
- checkpoint-20/training_args.bin +1 -1
- checkpoint-22/adapter_config.json +4 -4
- checkpoint-22/trainer_state.json +29 -30
- checkpoint-22/training_args.bin +1 -1
- checkpoint-24/adapter_config.json +4 -4
- checkpoint-24/trainer_state.json +32 -33
- checkpoint-24/training_args.bin +1 -1
- checkpoint-26/adapter_config.json +4 -4
- checkpoint-26/trainer_state.json +34 -35
- checkpoint-26/training_args.bin +1 -1
- checkpoint-28-merged/args.json +416 -0
- checkpoint-28-merged/config.json +30 -0
- checkpoint-28-merged/generation_config.json +9 -0
- checkpoint-28-merged/model-00001-of-00006.safetensors +3 -0
- checkpoint-28-merged/model-00002-of-00006.safetensors +3 -0
- checkpoint-28-merged/model-00003-of-00006.safetensors +3 -0
- checkpoint-28-merged/model-00004-of-00006.safetensors +3 -0
- checkpoint-28-merged/model-00005-of-00006.safetensors +3 -0
- checkpoint-28-merged/model-00006-of-00006.safetensors +3 -0
- checkpoint-28-merged/model.safetensors.index.json +586 -0
- checkpoint-28-merged/special_tokens_map.json +23 -0
- checkpoint-28-merged/tokenizer.json +3 -0
- checkpoint-28-merged/tokenizer_config.json +195 -0
- checkpoint-28/adapter_config.json +4 -4
- checkpoint-28/trainer_state.json +36 -37
- checkpoint-28/training_args.bin +1 -1
- checkpoint-4/adapter_config.json +4 -4
- checkpoint-4/trainer_state.json +7 -8
- checkpoint-4/training_args.bin +1 -1
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
completions.jsonl filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
completions.jsonl filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
checkpoint-28-merged/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
checkpoint-10/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-10/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 6,
|
| 3 |
"best_metric": 0.012996690347790718,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-6",
|
| 5 |
"epoch": 2.4210526315789473,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 10,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.012996690347790718,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-6",
|
| 4 |
"epoch": 2.4210526315789473,
|
|
|
|
| 6 |
"global_step": 10,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
}
|
checkpoint-10/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-12/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-12/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 12,
|
| 3 |
"best_metric": 0.03234308212995529,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 5 |
"epoch": 2.8421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 12,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03234308212995529,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 4 |
"epoch": 2.8421052631578947,
|
|
|
|
| 6 |
"global_step": 12,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
checkpoint-12/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-14/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-14/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 12,
|
| 3 |
"best_metric": 0.03234308212995529,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 5 |
"epoch": 3.4210526315789473,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 14,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03234308212995529,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 4 |
"epoch": 3.4210526315789473,
|
|
|
|
| 6 |
"global_step": 14,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
}
|
checkpoint-14/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-16/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-16/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 12,
|
| 3 |
"best_metric": 0.03234308212995529,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 5 |
"epoch": 3.8421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 16,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03234308212995529,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-12",
|
| 4 |
"epoch": 3.8421052631578947,
|
|
|
|
| 6 |
"global_step": 16,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
}
|
checkpoint-16/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-18/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-18/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 18,
|
| 3 |
"best_metric": 0.03729328140616417,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 5 |
"epoch": 4.421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 18,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03729328140616417,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 4 |
"epoch": 4.421052631578947,
|
|
|
|
| 6 |
"global_step": 18,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
checkpoint-18/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-2/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-2/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 0.42105263157894735,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 2,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
}
|
| 40 |
],
|
| 41 |
"logging_steps": 1,
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 0.42105263157894735,
|
|
|
|
| 6 |
"global_step": 2,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
}
|
| 39 |
],
|
| 40 |
"logging_steps": 1,
|
checkpoint-2/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-20/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-20/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 18,
|
| 3 |
"best_metric": 0.03729328140616417,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 5 |
"epoch": 4.842105263157895,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 20,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
@@ -311,7 +310,7 @@
|
|
| 311 |
"kl": 0.1820068359375,
|
| 312 |
"learning_rate": 8.636868207865244e-05,
|
| 313 |
"loss": -0.03466903418302536,
|
| 314 |
-
"memory(GiB)":
|
| 315 |
"response_clip_ratio": 0.466796875,
|
| 316 |
"reward": 0.04069916973821819,
|
| 317 |
"reward_std": 0.11991005763411522,
|
|
@@ -327,7 +326,7 @@
|
|
| 327 |
"kl": 0.19287109375,
|
| 328 |
"learning_rate": 8.43120818934367e-05,
|
| 329 |
"loss": -0.03502114117145538,
|
| 330 |
-
"memory(GiB)":
|
| 331 |
"step": 20,
|
| 332 |
"train_speed(iter/s)": 0.000424
|
| 333 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03729328140616417,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 4 |
"epoch": 4.842105263157895,
|
|
|
|
| 6 |
"global_step": 20,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
|
|
|
| 310 |
"kl": 0.1820068359375,
|
| 311 |
"learning_rate": 8.636868207865244e-05,
|
| 312 |
"loss": -0.03466903418302536,
|
| 313 |
+
"memory(GiB)": 182.91,
|
| 314 |
"response_clip_ratio": 0.466796875,
|
| 315 |
"reward": 0.04069916973821819,
|
| 316 |
"reward_std": 0.11991005763411522,
|
|
|
|
| 326 |
"kl": 0.19287109375,
|
| 327 |
"learning_rate": 8.43120818934367e-05,
|
| 328 |
"loss": -0.03502114117145538,
|
| 329 |
+
"memory(GiB)": 182.91,
|
| 330 |
"step": 20,
|
| 331 |
"train_speed(iter/s)": 0.000424
|
| 332 |
}
|
checkpoint-20/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-22/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-22/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 18,
|
| 3 |
"best_metric": 0.03729328140616417,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 5 |
"epoch": 5.421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 22,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
@@ -311,7 +310,7 @@
|
|
| 311 |
"kl": 0.1820068359375,
|
| 312 |
"learning_rate": 8.636868207865244e-05,
|
| 313 |
"loss": -0.03466903418302536,
|
| 314 |
-
"memory(GiB)":
|
| 315 |
"response_clip_ratio": 0.466796875,
|
| 316 |
"reward": 0.04069916973821819,
|
| 317 |
"reward_std": 0.11991005763411522,
|
|
@@ -327,7 +326,7 @@
|
|
| 327 |
"kl": 0.19287109375,
|
| 328 |
"learning_rate": 8.43120818934367e-05,
|
| 329 |
"loss": -0.03502114117145538,
|
| 330 |
-
"memory(GiB)":
|
| 331 |
"step": 20,
|
| 332 |
"train_speed(iter/s)": 0.000424
|
| 333 |
},
|
|
@@ -339,14 +338,14 @@
|
|
| 339 |
"kl": 0.17626953125,
|
| 340 |
"learning_rate": 8.213938048432697e-05,
|
| 341 |
"loss": -0.008662773296236992,
|
| 342 |
-
"memory(GiB)":
|
| 343 |
"response_clip_ratio": 0.5625,
|
| 344 |
"reward": 0.04996980866417289,
|
| 345 |
"reward_std": 0.13849420100450516,
|
| 346 |
"rewards/CosineReward": 0.049969930201768875,
|
| 347 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 348 |
"step": 21,
|
| 349 |
-
"train_speed(iter/s)": 0.
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"clip_ratio": 5.869188044016482e-05,
|
|
@@ -355,7 +354,7 @@
|
|
| 355 |
"kl": 0.178955078125,
|
| 356 |
"learning_rate": 7.985792958513931e-05,
|
| 357 |
"loss": -0.008743642829358578,
|
| 358 |
-
"memory(GiB)":
|
| 359 |
"step": 22,
|
| 360 |
"train_speed(iter/s)": 0.000426
|
| 361 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.03729328140616417,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-18",
|
| 4 |
"epoch": 5.421052631578947,
|
|
|
|
| 6 |
"global_step": 22,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
|
|
|
| 310 |
"kl": 0.1820068359375,
|
| 311 |
"learning_rate": 8.636868207865244e-05,
|
| 312 |
"loss": -0.03466903418302536,
|
| 313 |
+
"memory(GiB)": 182.91,
|
| 314 |
"response_clip_ratio": 0.466796875,
|
| 315 |
"reward": 0.04069916973821819,
|
| 316 |
"reward_std": 0.11991005763411522,
|
|
|
|
| 326 |
"kl": 0.19287109375,
|
| 327 |
"learning_rate": 8.43120818934367e-05,
|
| 328 |
"loss": -0.03502114117145538,
|
| 329 |
+
"memory(GiB)": 182.91,
|
| 330 |
"step": 20,
|
| 331 |
"train_speed(iter/s)": 0.000424
|
| 332 |
},
|
|
|
|
| 338 |
"kl": 0.17626953125,
|
| 339 |
"learning_rate": 8.213938048432697e-05,
|
| 340 |
"loss": -0.008662773296236992,
|
| 341 |
+
"memory(GiB)": 182.91,
|
| 342 |
"response_clip_ratio": 0.5625,
|
| 343 |
"reward": 0.04996980866417289,
|
| 344 |
"reward_std": 0.13849420100450516,
|
| 345 |
"rewards/CosineReward": 0.049969930201768875,
|
| 346 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 347 |
"step": 21,
|
| 348 |
+
"train_speed(iter/s)": 0.000408
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"clip_ratio": 5.869188044016482e-05,
|
|
|
|
| 354 |
"kl": 0.178955078125,
|
| 355 |
"learning_rate": 7.985792958513931e-05,
|
| 356 |
"loss": -0.008743642829358578,
|
| 357 |
+
"memory(GiB)": 182.91,
|
| 358 |
"step": 22,
|
| 359 |
"train_speed(iter/s)": 0.000426
|
| 360 |
}
|
checkpoint-22/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-24/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-24/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 24,
|
| 3 |
"best_metric": 0.04339282959699631,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 5 |
"epoch": 5.842105263157895,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 24,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
@@ -311,7 +310,7 @@
|
|
| 311 |
"kl": 0.1820068359375,
|
| 312 |
"learning_rate": 8.636868207865244e-05,
|
| 313 |
"loss": -0.03466903418302536,
|
| 314 |
-
"memory(GiB)":
|
| 315 |
"response_clip_ratio": 0.466796875,
|
| 316 |
"reward": 0.04069916973821819,
|
| 317 |
"reward_std": 0.11991005763411522,
|
|
@@ -327,7 +326,7 @@
|
|
| 327 |
"kl": 0.19287109375,
|
| 328 |
"learning_rate": 8.43120818934367e-05,
|
| 329 |
"loss": -0.03502114117145538,
|
| 330 |
-
"memory(GiB)":
|
| 331 |
"step": 20,
|
| 332 |
"train_speed(iter/s)": 0.000424
|
| 333 |
},
|
|
@@ -339,14 +338,14 @@
|
|
| 339 |
"kl": 0.17626953125,
|
| 340 |
"learning_rate": 8.213938048432697e-05,
|
| 341 |
"loss": -0.008662773296236992,
|
| 342 |
-
"memory(GiB)":
|
| 343 |
"response_clip_ratio": 0.5625,
|
| 344 |
"reward": 0.04996980866417289,
|
| 345 |
"reward_std": 0.13849420100450516,
|
| 346 |
"rewards/CosineReward": 0.049969930201768875,
|
| 347 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 348 |
"step": 21,
|
| 349 |
-
"train_speed(iter/s)": 0.
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"clip_ratio": 5.869188044016482e-05,
|
|
@@ -355,7 +354,7 @@
|
|
| 355 |
"kl": 0.178955078125,
|
| 356 |
"learning_rate": 7.985792958513931e-05,
|
| 357 |
"loss": -0.008743642829358578,
|
| 358 |
-
"memory(GiB)":
|
| 359 |
"step": 22,
|
| 360 |
"train_speed(iter/s)": 0.000426
|
| 361 |
},
|
|
@@ -367,7 +366,7 @@
|
|
| 367 |
"kl": 0.1796875,
|
| 368 |
"learning_rate": 7.74754489035403e-05,
|
| 369 |
"loss": -0.03423420712351799,
|
| 370 |
-
"memory(GiB)":
|
| 371 |
"response_clip_ratio": 0.583984375,
|
| 372 |
"reward": 0.034468831261619925,
|
| 373 |
"reward_std": 0.11841745302081108,
|
|
@@ -381,7 +380,7 @@
|
|
| 381 |
"grad_norm": 0.014131724834442139,
|
| 382 |
"learning_rate": 7.500000000000001e-05,
|
| 383 |
"loss": -0.03426633030176163,
|
| 384 |
-
"memory(GiB)":
|
| 385 |
"step": 24,
|
| 386 |
"train_speed(iter/s)": 0.000427
|
| 387 |
},
|
|
@@ -396,7 +395,7 @@
|
|
| 396 |
"eval_reward_std": 0.10456253588199615,
|
| 397 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 398 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 399 |
-
"eval_runtime": 1045.
|
| 400 |
"eval_samples_per_second": 0.001,
|
| 401 |
"eval_steps_per_second": 0.001,
|
| 402 |
"step": 24
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.04339282959699631,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 4 |
"epoch": 5.842105263157895,
|
|
|
|
| 6 |
"global_step": 24,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
|
|
|
| 310 |
"kl": 0.1820068359375,
|
| 311 |
"learning_rate": 8.636868207865244e-05,
|
| 312 |
"loss": -0.03466903418302536,
|
| 313 |
+
"memory(GiB)": 182.91,
|
| 314 |
"response_clip_ratio": 0.466796875,
|
| 315 |
"reward": 0.04069916973821819,
|
| 316 |
"reward_std": 0.11991005763411522,
|
|
|
|
| 326 |
"kl": 0.19287109375,
|
| 327 |
"learning_rate": 8.43120818934367e-05,
|
| 328 |
"loss": -0.03502114117145538,
|
| 329 |
+
"memory(GiB)": 182.91,
|
| 330 |
"step": 20,
|
| 331 |
"train_speed(iter/s)": 0.000424
|
| 332 |
},
|
|
|
|
| 338 |
"kl": 0.17626953125,
|
| 339 |
"learning_rate": 8.213938048432697e-05,
|
| 340 |
"loss": -0.008662773296236992,
|
| 341 |
+
"memory(GiB)": 182.91,
|
| 342 |
"response_clip_ratio": 0.5625,
|
| 343 |
"reward": 0.04996980866417289,
|
| 344 |
"reward_std": 0.13849420100450516,
|
| 345 |
"rewards/CosineReward": 0.049969930201768875,
|
| 346 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 347 |
"step": 21,
|
| 348 |
+
"train_speed(iter/s)": 0.000408
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"clip_ratio": 5.869188044016482e-05,
|
|
|
|
| 354 |
"kl": 0.178955078125,
|
| 355 |
"learning_rate": 7.985792958513931e-05,
|
| 356 |
"loss": -0.008743642829358578,
|
| 357 |
+
"memory(GiB)": 182.91,
|
| 358 |
"step": 22,
|
| 359 |
"train_speed(iter/s)": 0.000426
|
| 360 |
},
|
|
|
|
| 366 |
"kl": 0.1796875,
|
| 367 |
"learning_rate": 7.74754489035403e-05,
|
| 368 |
"loss": -0.03423420712351799,
|
| 369 |
+
"memory(GiB)": 182.91,
|
| 370 |
"response_clip_ratio": 0.583984375,
|
| 371 |
"reward": 0.034468831261619925,
|
| 372 |
"reward_std": 0.11841745302081108,
|
|
|
|
| 380 |
"grad_norm": 0.014131724834442139,
|
| 381 |
"learning_rate": 7.500000000000001e-05,
|
| 382 |
"loss": -0.03426633030176163,
|
| 383 |
+
"memory(GiB)": 182.91,
|
| 384 |
"step": 24,
|
| 385 |
"train_speed(iter/s)": 0.000427
|
| 386 |
},
|
|
|
|
| 395 |
"eval_reward_std": 0.10456253588199615,
|
| 396 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 397 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 398 |
+
"eval_runtime": 1045.0632,
|
| 399 |
"eval_samples_per_second": 0.001,
|
| 400 |
"eval_steps_per_second": 0.001,
|
| 401 |
"step": 24
|
checkpoint-24/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-26/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-26/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 24,
|
| 3 |
"best_metric": 0.04339282959699631,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 5 |
"epoch": 6.421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 26,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
@@ -311,7 +310,7 @@
|
|
| 311 |
"kl": 0.1820068359375,
|
| 312 |
"learning_rate": 8.636868207865244e-05,
|
| 313 |
"loss": -0.03466903418302536,
|
| 314 |
-
"memory(GiB)":
|
| 315 |
"response_clip_ratio": 0.466796875,
|
| 316 |
"reward": 0.04069916973821819,
|
| 317 |
"reward_std": 0.11991005763411522,
|
|
@@ -327,7 +326,7 @@
|
|
| 327 |
"kl": 0.19287109375,
|
| 328 |
"learning_rate": 8.43120818934367e-05,
|
| 329 |
"loss": -0.03502114117145538,
|
| 330 |
-
"memory(GiB)":
|
| 331 |
"step": 20,
|
| 332 |
"train_speed(iter/s)": 0.000424
|
| 333 |
},
|
|
@@ -339,14 +338,14 @@
|
|
| 339 |
"kl": 0.17626953125,
|
| 340 |
"learning_rate": 8.213938048432697e-05,
|
| 341 |
"loss": -0.008662773296236992,
|
| 342 |
-
"memory(GiB)":
|
| 343 |
"response_clip_ratio": 0.5625,
|
| 344 |
"reward": 0.04996980866417289,
|
| 345 |
"reward_std": 0.13849420100450516,
|
| 346 |
"rewards/CosineReward": 0.049969930201768875,
|
| 347 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 348 |
"step": 21,
|
| 349 |
-
"train_speed(iter/s)": 0.
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"clip_ratio": 5.869188044016482e-05,
|
|
@@ -355,7 +354,7 @@
|
|
| 355 |
"kl": 0.178955078125,
|
| 356 |
"learning_rate": 7.985792958513931e-05,
|
| 357 |
"loss": -0.008743642829358578,
|
| 358 |
-
"memory(GiB)":
|
| 359 |
"step": 22,
|
| 360 |
"train_speed(iter/s)": 0.000426
|
| 361 |
},
|
|
@@ -367,7 +366,7 @@
|
|
| 367 |
"kl": 0.1796875,
|
| 368 |
"learning_rate": 7.74754489035403e-05,
|
| 369 |
"loss": -0.03423420712351799,
|
| 370 |
-
"memory(GiB)":
|
| 371 |
"response_clip_ratio": 0.583984375,
|
| 372 |
"reward": 0.034468831261619925,
|
| 373 |
"reward_std": 0.11841745302081108,
|
|
@@ -381,7 +380,7 @@
|
|
| 381 |
"grad_norm": 0.014131724834442139,
|
| 382 |
"learning_rate": 7.500000000000001e-05,
|
| 383 |
"loss": -0.03426633030176163,
|
| 384 |
-
"memory(GiB)":
|
| 385 |
"step": 24,
|
| 386 |
"train_speed(iter/s)": 0.000427
|
| 387 |
},
|
|
@@ -396,7 +395,7 @@
|
|
| 396 |
"eval_reward_std": 0.10456253588199615,
|
| 397 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 398 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 399 |
-
"eval_runtime": 1045.
|
| 400 |
"eval_samples_per_second": 0.001,
|
| 401 |
"eval_steps_per_second": 0.001,
|
| 402 |
"step": 24
|
|
@@ -409,7 +408,7 @@
|
|
| 409 |
"kl": 0.1800537109375,
|
| 410 |
"learning_rate": 7.243995901002312e-05,
|
| 411 |
"loss": -0.02097315341234207,
|
| 412 |
-
"memory(GiB)":
|
| 413 |
"response_clip_ratio": 0.6171875,
|
| 414 |
"reward": 0.03010205877944827,
|
| 415 |
"reward_std": 0.10742511600255966,
|
|
@@ -425,7 +424,7 @@
|
|
| 425 |
"kl": 0.18408203125,
|
| 426 |
"learning_rate": 6.980398830195785e-05,
|
| 427 |
"loss": -0.02103913575410843,
|
| 428 |
-
"memory(GiB)":
|
| 429 |
"step": 26,
|
| 430 |
"train_speed(iter/s)": 0.000421
|
| 431 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.04339282959699631,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 4 |
"epoch": 6.421052631578947,
|
|
|
|
| 6 |
"global_step": 26,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
|
|
|
| 310 |
"kl": 0.1820068359375,
|
| 311 |
"learning_rate": 8.636868207865244e-05,
|
| 312 |
"loss": -0.03466903418302536,
|
| 313 |
+
"memory(GiB)": 182.91,
|
| 314 |
"response_clip_ratio": 0.466796875,
|
| 315 |
"reward": 0.04069916973821819,
|
| 316 |
"reward_std": 0.11991005763411522,
|
|
|
|
| 326 |
"kl": 0.19287109375,
|
| 327 |
"learning_rate": 8.43120818934367e-05,
|
| 328 |
"loss": -0.03502114117145538,
|
| 329 |
+
"memory(GiB)": 182.91,
|
| 330 |
"step": 20,
|
| 331 |
"train_speed(iter/s)": 0.000424
|
| 332 |
},
|
|
|
|
| 338 |
"kl": 0.17626953125,
|
| 339 |
"learning_rate": 8.213938048432697e-05,
|
| 340 |
"loss": -0.008662773296236992,
|
| 341 |
+
"memory(GiB)": 182.91,
|
| 342 |
"response_clip_ratio": 0.5625,
|
| 343 |
"reward": 0.04996980866417289,
|
| 344 |
"reward_std": 0.13849420100450516,
|
| 345 |
"rewards/CosineReward": 0.049969930201768875,
|
| 346 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 347 |
"step": 21,
|
| 348 |
+
"train_speed(iter/s)": 0.000408
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"clip_ratio": 5.869188044016482e-05,
|
|
|
|
| 354 |
"kl": 0.178955078125,
|
| 355 |
"learning_rate": 7.985792958513931e-05,
|
| 356 |
"loss": -0.008743642829358578,
|
| 357 |
+
"memory(GiB)": 182.91,
|
| 358 |
"step": 22,
|
| 359 |
"train_speed(iter/s)": 0.000426
|
| 360 |
},
|
|
|
|
| 366 |
"kl": 0.1796875,
|
| 367 |
"learning_rate": 7.74754489035403e-05,
|
| 368 |
"loss": -0.03423420712351799,
|
| 369 |
+
"memory(GiB)": 182.91,
|
| 370 |
"response_clip_ratio": 0.583984375,
|
| 371 |
"reward": 0.034468831261619925,
|
| 372 |
"reward_std": 0.11841745302081108,
|
|
|
|
| 380 |
"grad_norm": 0.014131724834442139,
|
| 381 |
"learning_rate": 7.500000000000001e-05,
|
| 382 |
"loss": -0.03426633030176163,
|
| 383 |
+
"memory(GiB)": 182.91,
|
| 384 |
"step": 24,
|
| 385 |
"train_speed(iter/s)": 0.000427
|
| 386 |
},
|
|
|
|
| 395 |
"eval_reward_std": 0.10456253588199615,
|
| 396 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 397 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 398 |
+
"eval_runtime": 1045.0632,
|
| 399 |
"eval_samples_per_second": 0.001,
|
| 400 |
"eval_steps_per_second": 0.001,
|
| 401 |
"step": 24
|
|
|
|
| 408 |
"kl": 0.1800537109375,
|
| 409 |
"learning_rate": 7.243995901002312e-05,
|
| 410 |
"loss": -0.02097315341234207,
|
| 411 |
+
"memory(GiB)": 182.91,
|
| 412 |
"response_clip_ratio": 0.6171875,
|
| 413 |
"reward": 0.03010205877944827,
|
| 414 |
"reward_std": 0.10742511600255966,
|
|
|
|
| 424 |
"kl": 0.18408203125,
|
| 425 |
"learning_rate": 6.980398830195785e-05,
|
| 426 |
"loss": -0.02103913575410843,
|
| 427 |
+
"memory(GiB)": 182.91,
|
| 428 |
"step": 26,
|
| 429 |
"train_speed(iter/s)": 0.000421
|
| 430 |
}
|
checkpoint-26/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-28-merged/args.json
ADDED
|
@@ -0,0 +1,416 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"model": "/mnt/nvme5n1p1/distill-14b-rl-70",
|
| 3 |
+
"model_type": "deepseek_r1_distill",
|
| 4 |
+
"model_revision": null,
|
| 5 |
+
"task_type": "causal_lm",
|
| 6 |
+
"torch_dtype": "bfloat16",
|
| 7 |
+
"attn_impl": null,
|
| 8 |
+
"num_labels": null,
|
| 9 |
+
"rope_scaling": null,
|
| 10 |
+
"device_map": null,
|
| 11 |
+
"max_memory": {},
|
| 12 |
+
"local_repo_path": null,
|
| 13 |
+
"template": "deepseek_r1",
|
| 14 |
+
"system": "You are a helpful and harmless assistant. You are Qwen developed by Alibaba. You should think step-by-step. Return final answer within \\\\boxed{}.",
|
| 15 |
+
"max_length": 16384,
|
| 16 |
+
"truncation_strategy": "left",
|
| 17 |
+
"max_pixels": null,
|
| 18 |
+
"tools_prompt": "react_en",
|
| 19 |
+
"norm_bbox": null,
|
| 20 |
+
"response_prefix": null,
|
| 21 |
+
"padding_side": "right",
|
| 22 |
+
"loss_scale": "last_round",
|
| 23 |
+
"sequence_parallel_size": 1,
|
| 24 |
+
"use_chat_template": true,
|
| 25 |
+
"template_backend": "swift",
|
| 26 |
+
"dataset": [
|
| 27 |
+
"stage2_aime.jsonl"
|
| 28 |
+
],
|
| 29 |
+
"val_dataset": [],
|
| 30 |
+
"split_dataset_ratio": 0.01,
|
| 31 |
+
"data_seed": 42,
|
| 32 |
+
"dataset_num_proc": 52,
|
| 33 |
+
"streaming": false,
|
| 34 |
+
"enable_cache": false,
|
| 35 |
+
"download_mode": "reuse_dataset_if_exists",
|
| 36 |
+
"columns": {},
|
| 37 |
+
"strict": false,
|
| 38 |
+
"remove_unused_columns": false,
|
| 39 |
+
"model_name": [
|
| 40 |
+
null,
|
| 41 |
+
null
|
| 42 |
+
],
|
| 43 |
+
"model_author": [
|
| 44 |
+
null,
|
| 45 |
+
null
|
| 46 |
+
],
|
| 47 |
+
"custom_dataset_info": [],
|
| 48 |
+
"quant_method": null,
|
| 49 |
+
"quant_bits": null,
|
| 50 |
+
"hqq_axis": null,
|
| 51 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
| 52 |
+
"bnb_4bit_quant_type": "nf4",
|
| 53 |
+
"bnb_4bit_use_double_quant": true,
|
| 54 |
+
"bnb_4bit_quant_storage": null,
|
| 55 |
+
"max_new_tokens": 64,
|
| 56 |
+
"temperature": 1.0,
|
| 57 |
+
"top_k": 50,
|
| 58 |
+
"top_p": 0.9,
|
| 59 |
+
"repetition_penalty": 1.1,
|
| 60 |
+
"num_beams": 1,
|
| 61 |
+
"stream": false,
|
| 62 |
+
"stop_words": [],
|
| 63 |
+
"logprobs": false,
|
| 64 |
+
"top_logprobs": null,
|
| 65 |
+
"ckpt_dir": "/mnt/nvme5n1p1/distill-14b-rl-70",
|
| 66 |
+
"load_dataset_config": null,
|
| 67 |
+
"lora_modules": [],
|
| 68 |
+
"tuner_backend": "peft",
|
| 69 |
+
"train_type": "lora",
|
| 70 |
+
"adapters": [],
|
| 71 |
+
"external_plugins": [],
|
| 72 |
+
"seed": 42,
|
| 73 |
+
"model_kwargs": {},
|
| 74 |
+
"load_args": false,
|
| 75 |
+
"load_data_args": false,
|
| 76 |
+
"use_hf": true,
|
| 77 |
+
"hub_token": null,
|
| 78 |
+
"custom_register_path": [],
|
| 79 |
+
"ignore_args_error": false,
|
| 80 |
+
"use_swift_lora": false,
|
| 81 |
+
"output_dir": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345",
|
| 82 |
+
"overwrite_output_dir": false,
|
| 83 |
+
"do_train": false,
|
| 84 |
+
"do_eval": false,
|
| 85 |
+
"do_predict": false,
|
| 86 |
+
"eval_strategy": "steps",
|
| 87 |
+
"prediction_loss_only": false,
|
| 88 |
+
"per_device_train_batch_size": 4,
|
| 89 |
+
"per_device_eval_batch_size": 4,
|
| 90 |
+
"per_gpu_train_batch_size": null,
|
| 91 |
+
"per_gpu_eval_batch_size": null,
|
| 92 |
+
"gradient_accumulation_steps": 4,
|
| 93 |
+
"eval_accumulation_steps": null,
|
| 94 |
+
"eval_delay": 0,
|
| 95 |
+
"torch_empty_cache_steps": null,
|
| 96 |
+
"learning_rate": 0.0001,
|
| 97 |
+
"weight_decay": 0.1,
|
| 98 |
+
"adam_beta1": 0.9,
|
| 99 |
+
"adam_beta2": 0.999,
|
| 100 |
+
"adam_epsilon": 1e-08,
|
| 101 |
+
"max_grad_norm": 1.0,
|
| 102 |
+
"num_train_epochs": 15.0,
|
| 103 |
+
"max_steps": -1,
|
| 104 |
+
"lr_scheduler_type": "cosine",
|
| 105 |
+
"lr_scheduler_kwargs": null,
|
| 106 |
+
"warmup_ratio": 0.1,
|
| 107 |
+
"warmup_steps": 0,
|
| 108 |
+
"log_level": "passive",
|
| 109 |
+
"log_level_replica": "warning",
|
| 110 |
+
"log_on_each_node": true,
|
| 111 |
+
"logging_dir": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/runs",
|
| 112 |
+
"logging_strategy": "steps",
|
| 113 |
+
"logging_first_step": true,
|
| 114 |
+
"logging_steps": 1,
|
| 115 |
+
"logging_nan_inf_filter": true,
|
| 116 |
+
"save_strategy": "steps",
|
| 117 |
+
"save_steps": 2.0,
|
| 118 |
+
"save_total_limit": 100,
|
| 119 |
+
"save_safetensors": true,
|
| 120 |
+
"save_on_each_node": true,
|
| 121 |
+
"save_only_model": false,
|
| 122 |
+
"restore_callback_states_from_checkpoint": false,
|
| 123 |
+
"no_cuda": false,
|
| 124 |
+
"use_cpu": false,
|
| 125 |
+
"use_mps_device": false,
|
| 126 |
+
"jit_mode_eval": false,
|
| 127 |
+
"use_ipex": false,
|
| 128 |
+
"bf16": true,
|
| 129 |
+
"fp16": false,
|
| 130 |
+
"fp16_opt_level": "O1",
|
| 131 |
+
"half_precision_backend": "auto",
|
| 132 |
+
"bf16_full_eval": false,
|
| 133 |
+
"fp16_full_eval": false,
|
| 134 |
+
"tf32": null,
|
| 135 |
+
"local_rank": 0,
|
| 136 |
+
"ddp_backend": null,
|
| 137 |
+
"tpu_num_cores": null,
|
| 138 |
+
"tpu_metrics_debug": false,
|
| 139 |
+
"debug": null,
|
| 140 |
+
"dataloader_drop_last": false,
|
| 141 |
+
"eval_steps": 6.0,
|
| 142 |
+
"dataloader_num_workers": 52,
|
| 143 |
+
"dataloader_prefetch_factor": null,
|
| 144 |
+
"past_index": -1,
|
| 145 |
+
"run_name": null,
|
| 146 |
+
"disable_tqdm": null,
|
| 147 |
+
"label_names": null,
|
| 148 |
+
"load_best_model_at_end": false,
|
| 149 |
+
"metric_for_best_model": "reward",
|
| 150 |
+
"greater_is_better": true,
|
| 151 |
+
"ignore_data_skip": false,
|
| 152 |
+
"fsdp": "",
|
| 153 |
+
"fsdp_min_num_params": 0,
|
| 154 |
+
"fsdp_config": null,
|
| 155 |
+
"fsdp_transformer_layer_cls_to_wrap": null,
|
| 156 |
+
"accelerator_config": {
|
| 157 |
+
"dispatch_batches": false
|
| 158 |
+
},
|
| 159 |
+
"deepspeed": {
|
| 160 |
+
"fp16": {
|
| 161 |
+
"enabled": "auto",
|
| 162 |
+
"loss_scale": 0,
|
| 163 |
+
"loss_scale_window": 1000,
|
| 164 |
+
"initial_scale_power": 16,
|
| 165 |
+
"hysteresis": 2,
|
| 166 |
+
"min_loss_scale": 1
|
| 167 |
+
},
|
| 168 |
+
"bf16": {
|
| 169 |
+
"enabled": "auto"
|
| 170 |
+
},
|
| 171 |
+
"zero_optimization": {
|
| 172 |
+
"stage": 2,
|
| 173 |
+
"offload_optimizer": {
|
| 174 |
+
"device": "none",
|
| 175 |
+
"pin_memory": true
|
| 176 |
+
},
|
| 177 |
+
"allgather_partitions": true,
|
| 178 |
+
"allgather_bucket_size": 200000000.0,
|
| 179 |
+
"overlap_comm": true,
|
| 180 |
+
"reduce_scatter": true,
|
| 181 |
+
"reduce_bucket_size": 200000000.0,
|
| 182 |
+
"contiguous_gradients": true
|
| 183 |
+
},
|
| 184 |
+
"gradient_accumulation_steps": "auto",
|
| 185 |
+
"gradient_clipping": "auto",
|
| 186 |
+
"steps_per_print": 2000,
|
| 187 |
+
"train_batch_size": "auto",
|
| 188 |
+
"train_micro_batch_size_per_gpu": "auto",
|
| 189 |
+
"wall_clock_breakdown": false
|
| 190 |
+
},
|
| 191 |
+
"label_smoothing_factor": 0.0,
|
| 192 |
+
"optim": "adamw_torch",
|
| 193 |
+
"optim_args": null,
|
| 194 |
+
"adafactor": false,
|
| 195 |
+
"group_by_length": false,
|
| 196 |
+
"length_column_name": "length",
|
| 197 |
+
"report_to": [
|
| 198 |
+
"wandb"
|
| 199 |
+
],
|
| 200 |
+
"ddp_find_unused_parameters": null,
|
| 201 |
+
"ddp_bucket_cap_mb": null,
|
| 202 |
+
"ddp_broadcast_buffers": null,
|
| 203 |
+
"dataloader_pin_memory": true,
|
| 204 |
+
"dataloader_persistent_workers": false,
|
| 205 |
+
"skip_memory_metrics": true,
|
| 206 |
+
"use_legacy_prediction_loop": false,
|
| 207 |
+
"push_to_hub": false,
|
| 208 |
+
"resume_from_checkpoint": null,
|
| 209 |
+
"hub_model_id": null,
|
| 210 |
+
"hub_strategy": "every_save",
|
| 211 |
+
"hub_private_repo": null,
|
| 212 |
+
"hub_always_push": false,
|
| 213 |
+
"gradient_checkpointing": true,
|
| 214 |
+
"gradient_checkpointing_kwargs": null,
|
| 215 |
+
"include_inputs_for_metrics": false,
|
| 216 |
+
"include_for_metrics": [],
|
| 217 |
+
"eval_do_concat_batches": true,
|
| 218 |
+
"fp16_backend": "auto",
|
| 219 |
+
"evaluation_strategy": "steps",
|
| 220 |
+
"push_to_hub_model_id": null,
|
| 221 |
+
"push_to_hub_organization": null,
|
| 222 |
+
"push_to_hub_token": null,
|
| 223 |
+
"mp_parameters": "",
|
| 224 |
+
"auto_find_batch_size": false,
|
| 225 |
+
"full_determinism": false,
|
| 226 |
+
"torchdynamo": null,
|
| 227 |
+
"ray_scope": "last",
|
| 228 |
+
"ddp_timeout": 1800,
|
| 229 |
+
"torch_compile": false,
|
| 230 |
+
"torch_compile_backend": null,
|
| 231 |
+
"torch_compile_mode": null,
|
| 232 |
+
"dispatch_batches": null,
|
| 233 |
+
"split_batches": null,
|
| 234 |
+
"include_tokens_per_second": false,
|
| 235 |
+
"include_num_input_tokens_seen": false,
|
| 236 |
+
"neftune_noise_alpha": null,
|
| 237 |
+
"optim_target_modules": null,
|
| 238 |
+
"batch_eval_metrics": false,
|
| 239 |
+
"eval_on_start": false,
|
| 240 |
+
"use_liger_kernel": false,
|
| 241 |
+
"eval_use_gather_object": false,
|
| 242 |
+
"average_tokens_across_devices": false,
|
| 243 |
+
"sortish_sampler": false,
|
| 244 |
+
"predict_with_generate": false,
|
| 245 |
+
"generation_max_length": null,
|
| 246 |
+
"generation_num_beams": null,
|
| 247 |
+
"generation_config": null,
|
| 248 |
+
"freeze_parameters": [],
|
| 249 |
+
"freeze_parameters_ratio": 0.0,
|
| 250 |
+
"trainable_parameters": [],
|
| 251 |
+
"freeze_llm": false,
|
| 252 |
+
"freeze_vit": true,
|
| 253 |
+
"freeze_aligner": true,
|
| 254 |
+
"target_modules": [
|
| 255 |
+
"all-linear"
|
| 256 |
+
],
|
| 257 |
+
"target_regex": null,
|
| 258 |
+
"modules_to_save": [],
|
| 259 |
+
"lora_rank": 32,
|
| 260 |
+
"lora_alpha": 32,
|
| 261 |
+
"lora_dropout": 0.05,
|
| 262 |
+
"lora_bias": "none",
|
| 263 |
+
"lora_dtype": null,
|
| 264 |
+
"lorap_lr_ratio": null,
|
| 265 |
+
"use_rslora": false,
|
| 266 |
+
"use_dora": false,
|
| 267 |
+
"lora_ga_batch_size": 2,
|
| 268 |
+
"lora_ga_iters": 2,
|
| 269 |
+
"lora_ga_max_length": 1024,
|
| 270 |
+
"lora_ga_direction": "ArB2r",
|
| 271 |
+
"lora_ga_scale": "stable",
|
| 272 |
+
"lora_ga_stable_gamma": 16,
|
| 273 |
+
"init_weights": true,
|
| 274 |
+
"fourier_n_frequency": 2000,
|
| 275 |
+
"fourier_scaling": 300.0,
|
| 276 |
+
"boft_block_size": 4,
|
| 277 |
+
"boft_block_num": 0,
|
| 278 |
+
"boft_n_butterfly_factor": 1,
|
| 279 |
+
"boft_dropout": 0.0,
|
| 280 |
+
"vera_rank": 256,
|
| 281 |
+
"vera_projection_prng_key": 0,
|
| 282 |
+
"vera_dropout": 0.0,
|
| 283 |
+
"vera_d_initial": 0.1,
|
| 284 |
+
"adapter_act": "gelu",
|
| 285 |
+
"adapter_length": 128,
|
| 286 |
+
"use_galore": false,
|
| 287 |
+
"galore_target_modules": null,
|
| 288 |
+
"galore_rank": 128,
|
| 289 |
+
"galore_update_proj_gap": 50,
|
| 290 |
+
"galore_scale": 1.0,
|
| 291 |
+
"galore_proj_type": "std",
|
| 292 |
+
"galore_optim_per_parameter": false,
|
| 293 |
+
"galore_with_embedding": false,
|
| 294 |
+
"galore_quantization": false,
|
| 295 |
+
"galore_proj_quant": false,
|
| 296 |
+
"galore_proj_bits": 4,
|
| 297 |
+
"galore_proj_group_size": 256,
|
| 298 |
+
"galore_cos_threshold": 0.4,
|
| 299 |
+
"galore_gamma_proj": 2,
|
| 300 |
+
"galore_queue_size": 5,
|
| 301 |
+
"adalora_target_r": 8,
|
| 302 |
+
"adalora_init_r": 12,
|
| 303 |
+
"adalora_tinit": 0,
|
| 304 |
+
"adalora_tfinal": 0,
|
| 305 |
+
"adalora_deltaT": 1,
|
| 306 |
+
"adalora_beta1": 0.85,
|
| 307 |
+
"adalora_beta2": 0.85,
|
| 308 |
+
"adalora_orth_reg_weight": 0.5,
|
| 309 |
+
"llamapro_num_new_blocks": 4,
|
| 310 |
+
"llamapro_num_groups": null,
|
| 311 |
+
"lisa_activated_layers": 0,
|
| 312 |
+
"lisa_step_interval": 20,
|
| 313 |
+
"reft_layer_key": null,
|
| 314 |
+
"reft_layers": null,
|
| 315 |
+
"reft_rank": 4,
|
| 316 |
+
"reft_intervention_type": "LoreftIntervention",
|
| 317 |
+
"reft_args": null,
|
| 318 |
+
"use_liger": false,
|
| 319 |
+
"model_layer_cls_name": null,
|
| 320 |
+
"metric_warmup_step": 0,
|
| 321 |
+
"fsdp_num": 1,
|
| 322 |
+
"acc_steps": 1,
|
| 323 |
+
"swanlab_token": null,
|
| 324 |
+
"swanlab_project": null,
|
| 325 |
+
"swanlab_workspace": null,
|
| 326 |
+
"swanlab_exp_name": null,
|
| 327 |
+
"swanlab_mode": "cloud",
|
| 328 |
+
"add_version": true,
|
| 329 |
+
"resume_only_model": false,
|
| 330 |
+
"check_model": true,
|
| 331 |
+
"create_checkpoint_symlink": false,
|
| 332 |
+
"packing": false,
|
| 333 |
+
"lazy_tokenize": false,
|
| 334 |
+
"loss_type": null,
|
| 335 |
+
"optimizer": null,
|
| 336 |
+
"metric": null,
|
| 337 |
+
"acc_strategy": "token",
|
| 338 |
+
"zero_hpz_partition_size": null,
|
| 339 |
+
"reward_model": null,
|
| 340 |
+
"reward_adapters": [],
|
| 341 |
+
"reward_model_type": null,
|
| 342 |
+
"reward_model_revision": null,
|
| 343 |
+
"num_ppo_epochs": 4,
|
| 344 |
+
"whiten_rewards": false,
|
| 345 |
+
"kl_coef": 0.05,
|
| 346 |
+
"cliprange": 0.2,
|
| 347 |
+
"vf_coef": 0.1,
|
| 348 |
+
"cliprange_value": 0.2,
|
| 349 |
+
"gamma": 1.0,
|
| 350 |
+
"lam": 0.95,
|
| 351 |
+
"num_mini_batches": 1,
|
| 352 |
+
"local_rollout_forward_batch_size": 64,
|
| 353 |
+
"num_sample_generations": 10,
|
| 354 |
+
"response_length": 512,
|
| 355 |
+
"missing_eos_penalty": null,
|
| 356 |
+
"num_infer_workers": 8,
|
| 357 |
+
"vllm_max_num_seqs": 256,
|
| 358 |
+
"vllm_enforce_eager": false,
|
| 359 |
+
"vllm_limit_mm_per_prompt": null,
|
| 360 |
+
"vllm_enable_prefix_caching": true,
|
| 361 |
+
"cosine_min_len_value_wrong": 0.0,
|
| 362 |
+
"cosine_max_len_value_wrong": -0.2,
|
| 363 |
+
"cosine_min_len_value_correct": 0.8,
|
| 364 |
+
"cosine_max_len_value_correct": 0.4,
|
| 365 |
+
"cosine_max_len": 12288,
|
| 366 |
+
"repetition_n_grams": 40,
|
| 367 |
+
"repetition_max_penalty": -0.05,
|
| 368 |
+
"use_lmdeploy": false,
|
| 369 |
+
"lmdeploy_device": "auto",
|
| 370 |
+
"lmdeploy_session_len": null,
|
| 371 |
+
"lmdeploy_cache_max_entry_count": 0.8,
|
| 372 |
+
"async_generate": false,
|
| 373 |
+
"tensor_parallel_size": 1,
|
| 374 |
+
"sleep_level": 0,
|
| 375 |
+
"move_model_batches": null,
|
| 376 |
+
"offload_optimizer": false,
|
| 377 |
+
"offload_model": false,
|
| 378 |
+
"gc_collect_after_offload": false,
|
| 379 |
+
"num_generations": 8,
|
| 380 |
+
"max_completion_length": 12288,
|
| 381 |
+
"ds3_gather_for_generation": true,
|
| 382 |
+
"reward_funcs": [
|
| 383 |
+
"cosine",
|
| 384 |
+
"repetition"
|
| 385 |
+
],
|
| 386 |
+
"reward_weights": null,
|
| 387 |
+
"log_completions": true,
|
| 388 |
+
"use_vllm": false,
|
| 389 |
+
"vllm_device": [
|
| 390 |
+
"auto"
|
| 391 |
+
],
|
| 392 |
+
"vllm_gpu_memory_utilization": 0.9,
|
| 393 |
+
"vllm_max_model_len": null,
|
| 394 |
+
"num_iterations": 2,
|
| 395 |
+
"epsilon": 0.2,
|
| 396 |
+
"rlhf_type": "grpo",
|
| 397 |
+
"ref_model": null,
|
| 398 |
+
"ref_model_type": null,
|
| 399 |
+
"ref_model_revision": null,
|
| 400 |
+
"beta": 0.04,
|
| 401 |
+
"label_smoothing": 0,
|
| 402 |
+
"rpo_alpha": 1.0,
|
| 403 |
+
"cpo_alpha": 1.0,
|
| 404 |
+
"simpo_gamma": 1,
|
| 405 |
+
"desirable_weight": 1.0,
|
| 406 |
+
"undesirable_weight": 1.0,
|
| 407 |
+
"rank": 0,
|
| 408 |
+
"global_world_size": 32,
|
| 409 |
+
"local_world_size": 8,
|
| 410 |
+
"model_suffix": "distill-14b-rl-70",
|
| 411 |
+
"model_info": "ModelInfo(model_type='deepseek_r1_distill', model_dir='/mnt/nvme5n1p1/distill-14b-rl-70', torch_dtype=torch.bfloat16, max_model_len=131072, quant_method=None, quant_bits=None, rope_scaling=None, config=None, task_type='causal_lm', num_labels=None)",
|
| 412 |
+
"model_meta": "ModelMeta(model_type='deepseek_r1_distill', model_groups=[ModelGroup(models=[Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-7B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-7B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-14B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-14B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Qwen-32B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=['transformers>=4.37'], tags=[]), ModelGroup(models=[Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Llama-8B', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='deepseek-ai/DeepSeek-R1-Distill-Llama-70B', hf_model_id='deepseek-ai/DeepSeek-R1-Distill-Llama-70B', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='deepseek_r1', get_function=<function get_model_tokenizer_with_flash_attn at 0x7f57e39d3400>, model_arch='llama', architectures=['Qwen2ForCausalLM', 'LlamaForCausalLM'], additional_saved_files=[], torch_dtype=None, is_multimodal=False, is_reward=False, task_type=None, ignore_patterns=[], requires=[], tags=[])",
|
| 413 |
+
"model_dir": "/mnt/nvme5n1p1/distill-14b-rl-70",
|
| 414 |
+
"hub": "<class 'swift.hub.hub.HFHub'>",
|
| 415 |
+
"training_args": "GRPOConfig(output_dir='/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345', overwrite_output_dir=False, do_train=False, do_eval=True, do_predict=False, eval_strategy=<IntervalStrategy.STEPS: 'steps'>, prediction_loss_only=False, per_device_train_batch_size=4, per_device_eval_batch_size=4, per_gpu_train_batch_size=None, per_gpu_eval_batch_size=None, gradient_accumulation_steps=4, eval_accumulation_steps=None, eval_delay=0, torch_empty_cache_steps=None, learning_rate=0.0001, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.999, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=15.0, max_steps=-1, lr_scheduler_type=<SchedulerType.COSINE: 'cosine'>, lr_scheduler_kwargs=None, warmup_ratio=0.1, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=1, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=2, save_total_limit=100, save_safetensors=True, save_on_each_node=True, save_only_model=False, restore_callback_states_from_checkpoint=False, no_cuda=False, use_cpu=False, use_mps_device=False, seed=42, data_seed=42, jit_mode_eval=False, use_ipex=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, tpu_metrics_debug=False, debug=[], dataloader_drop_last=False, eval_steps=6, dataloader_num_workers=52, dataloader_prefetch_factor=None, past_index=-1, run_name='/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='reward', greater_is_better=True, ignore_data_skip=False, fsdp=[], fsdp_min_num_params=0, fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, fsdp_transformer_layer_cls_to_wrap=None, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 2, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'allgather_partitions': True, 'allgather_bucket_size': 200000000.0, 'overlap_comm': True, 'reduce_scatter': True, 'reduce_bucket_size': 200000000.0, 'contiguous_gradients': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH: 'adamw_torch'>, optim_args=None, adafactor=False, group_by_length=False, length_column_name='length', report_to=['wandb'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_inputs_for_metrics=False, include_for_metrics=[], eval_do_concat_batches=True, fp16_backend='auto', evaluation_strategy='steps', push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=None, mp_parameters='', auto_find_batch_size=False, full_determinism=False, torchdynamo=None, ray_scope='last', ddp_timeout=1800, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, dispatch_batches=None, split_batches=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, eval_use_gather_object=False, average_tokens_across_devices=None, model_init_kwargs=None, max_prompt_length=512, num_generations=8, max_completion_length=12288, ds3_gather_for_generation=True, temperature=1.0, top_p=0.9, top_k=50, min_p=None, repetition_penalty=1.1, cache_implementation=None, use_vllm=False, vllm_server_host='0.0.0.0', vllm_server_port=8000, vllm_server_timeout=120.0, vllm_guided_decoding_regex=None, beta=0.04, num_iterations=2, epsilon=0.2, epsilon_high=None, reward_weights=None, scale_rewards=True, sync_ref_model=False, ref_model_mixup_alpha=0.6, ref_model_sync_steps=512, log_completions=True, vllm_device=['auto'], vllm_gpu_memory_utilization=0.9, vllm_dtype=None, vllm_max_model_len=None, vllm_enable_prefix_caching=True, acc_strategy='token', sequence_parallel_size=1, check_model=True, train_sampler_random=True, is_encoder_decoder=False, metric_warmup_step=0, train_dataset_sample=-1, fsdp_num=1, acc_steps=1, train_type='lora', optimizer=None, local_repo_path=None, galore_config=None, num_infer_workers=8, vllm_max_num_seqs=256, vllm_enforce_eager=False, vllm_limit_mm_per_prompt={}, cosine_min_len_value_wrong=0.0, cosine_max_len_value_wrong=-0.2, cosine_min_len_value_correct=0.8, cosine_max_len_value_correct=0.4, cosine_max_len=12288, repetition_n_grams=40, repetition_max_penalty=-0.05, use_lmdeploy=False, lmdeploy_device='auto', lmdeploy_session_len=None, lmdeploy_cache_max_entry_count=0.8, async_generate=False, tensor_parallel_size=1, sleep_level=0, move_model_batches=None, offload_optimizer=False, offload_model=False, gc_collect_after_offload=False, stop_words=[])"
|
| 416 |
+
}
|
checkpoint-28-merged/config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/mnt/nvme5n1p1/distill-14b-rl-70",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 5120,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 13824,
|
| 13 |
+
"max_position_embeddings": 131072,
|
| 14 |
+
"max_window_layers": 48,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 40,
|
| 17 |
+
"num_hidden_layers": 48,
|
| 18 |
+
"num_key_value_heads": 8,
|
| 19 |
+
"pad_token_id": 151643,
|
| 20 |
+
"rms_norm_eps": 1e-05,
|
| 21 |
+
"rope_scaling": null,
|
| 22 |
+
"rope_theta": 1000000.0,
|
| 23 |
+
"sliding_window": 131072,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.49.0",
|
| 27 |
+
"use_cache": true,
|
| 28 |
+
"use_sliding_window": false,
|
| 29 |
+
"vocab_size": 152064
|
| 30 |
+
}
|
checkpoint-28-merged/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151646,
|
| 4 |
+
"do_sample": true,
|
| 5 |
+
"eos_token_id": 151643,
|
| 6 |
+
"temperature": 0.6,
|
| 7 |
+
"top_p": 0.95,
|
| 8 |
+
"transformers_version": "4.49.0"
|
| 9 |
+
}
|
checkpoint-28-merged/model-00001-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0dad1cc6ad2fcb07c0d28f1fefa020b05bd6f5ad928543fa827063515a82fd36
|
| 3 |
+
size 4986211280
|
checkpoint-28-merged/model-00002-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b3373a98462f51330b13f1176c78eab7dfc305789dd096ce8db2fe4c09af0a12
|
| 3 |
+
size 4954847344
|
checkpoint-28-merged/model-00003-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d38db81bd02623d6f2fbdbc2b4f1326cbc29a33dfa9e74f815e8ce53eda5be0
|
| 3 |
+
size 4954847392
|
checkpoint-28-merged/model-00004-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72420ed55ee03b62e4d0048080fc2e77480b59c591ea19af59df846ce40a6085
|
| 3 |
+
size 4954847392
|
checkpoint-28-merged/model-00005-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81e7b4b23b74c4b8b7644ebf4d3033cf1b0831e11df821cde515e076716b0b1a
|
| 3 |
+
size 4954847392
|
checkpoint-28-merged/model-00006-of-00006.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f59b1d4bb65717f1d0dca8dfd0a2978bc6a035fe192d352ea7b08f971972996
|
| 3 |
+
size 4734533160
|
checkpoint-28-merged/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,586 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 29540067328
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00006-of-00006.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00006.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 260 |
+
"model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 261 |
+
"model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 262 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 263 |
+
"model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 264 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 265 |
+
"model.layers.28.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 266 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 267 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 268 |
+
"model.layers.28.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 269 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 270 |
+
"model.layers.28.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 271 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 272 |
+
"model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 273 |
+
"model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 274 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 275 |
+
"model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 276 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 277 |
+
"model.layers.29.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 278 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 279 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 280 |
+
"model.layers.29.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 281 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 282 |
+
"model.layers.29.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 283 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 284 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 285 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 286 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 287 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 288 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 289 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 290 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 291 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 292 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 293 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 294 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 295 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 296 |
+
"model.layers.30.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 297 |
+
"model.layers.30.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 298 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 299 |
+
"model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 300 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 301 |
+
"model.layers.30.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 302 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 303 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 304 |
+
"model.layers.30.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 305 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 306 |
+
"model.layers.30.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 307 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 308 |
+
"model.layers.31.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 309 |
+
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 310 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 311 |
+
"model.layers.31.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 312 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 313 |
+
"model.layers.31.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 314 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 315 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 316 |
+
"model.layers.31.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 317 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 318 |
+
"model.layers.31.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 319 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 320 |
+
"model.layers.32.input_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 321 |
+
"model.layers.32.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
|
| 322 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
|
| 323 |
+
"model.layers.32.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
|
| 324 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
|
| 325 |
+
"model.layers.32.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 326 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 327 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 328 |
+
"model.layers.32.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 329 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 330 |
+
"model.layers.32.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 331 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 332 |
+
"model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 333 |
+
"model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 334 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 335 |
+
"model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 336 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 337 |
+
"model.layers.33.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
|
| 338 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
|
| 339 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
|
| 340 |
+
"model.layers.33.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
|
| 341 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
|
| 342 |
+
"model.layers.33.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
|
| 343 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
|
| 344 |
+
"model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 345 |
+
"model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 346 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 347 |
+
"model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 348 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 349 |
+
"model.layers.34.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 350 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 351 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 352 |
+
"model.layers.34.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 353 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 354 |
+
"model.layers.34.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 355 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 356 |
+
"model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 357 |
+
"model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 358 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 359 |
+
"model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 360 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 361 |
+
"model.layers.35.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 362 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 363 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 364 |
+
"model.layers.35.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 365 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 366 |
+
"model.layers.35.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 367 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 368 |
+
"model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 369 |
+
"model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 370 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 371 |
+
"model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 372 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 373 |
+
"model.layers.36.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 374 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 375 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 376 |
+
"model.layers.36.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 377 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 378 |
+
"model.layers.36.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 379 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 380 |
+
"model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 381 |
+
"model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 382 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 383 |
+
"model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 384 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 385 |
+
"model.layers.37.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 386 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 387 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 388 |
+
"model.layers.37.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 389 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 390 |
+
"model.layers.37.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 391 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 392 |
+
"model.layers.38.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 393 |
+
"model.layers.38.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 394 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 395 |
+
"model.layers.38.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 396 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 397 |
+
"model.layers.38.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 398 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 399 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 400 |
+
"model.layers.38.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 401 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 402 |
+
"model.layers.38.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 403 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 404 |
+
"model.layers.39.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 405 |
+
"model.layers.39.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 406 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 407 |
+
"model.layers.39.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 408 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 409 |
+
"model.layers.39.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 410 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 411 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 412 |
+
"model.layers.39.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 413 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 414 |
+
"model.layers.39.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 415 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 416 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 417 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 418 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 419 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 420 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 421 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 422 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 423 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 424 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 425 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 426 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 427 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 428 |
+
"model.layers.40.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 429 |
+
"model.layers.40.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 430 |
+
"model.layers.40.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 431 |
+
"model.layers.40.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 432 |
+
"model.layers.40.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 433 |
+
"model.layers.40.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 434 |
+
"model.layers.40.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 435 |
+
"model.layers.40.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 436 |
+
"model.layers.40.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 437 |
+
"model.layers.40.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 438 |
+
"model.layers.40.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 439 |
+
"model.layers.40.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 440 |
+
"model.layers.41.input_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 441 |
+
"model.layers.41.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
|
| 442 |
+
"model.layers.41.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
|
| 443 |
+
"model.layers.41.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
|
| 444 |
+
"model.layers.41.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
|
| 445 |
+
"model.layers.41.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 446 |
+
"model.layers.41.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 447 |
+
"model.layers.41.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 448 |
+
"model.layers.41.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 449 |
+
"model.layers.41.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 450 |
+
"model.layers.41.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 451 |
+
"model.layers.41.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 452 |
+
"model.layers.42.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 453 |
+
"model.layers.42.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 454 |
+
"model.layers.42.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 455 |
+
"model.layers.42.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 456 |
+
"model.layers.42.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 457 |
+
"model.layers.42.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
|
| 458 |
+
"model.layers.42.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
|
| 459 |
+
"model.layers.42.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
|
| 460 |
+
"model.layers.42.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
|
| 461 |
+
"model.layers.42.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
|
| 462 |
+
"model.layers.42.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
|
| 463 |
+
"model.layers.42.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
|
| 464 |
+
"model.layers.43.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 465 |
+
"model.layers.43.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 466 |
+
"model.layers.43.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 467 |
+
"model.layers.43.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 468 |
+
"model.layers.43.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 469 |
+
"model.layers.43.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
| 470 |
+
"model.layers.43.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 471 |
+
"model.layers.43.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 472 |
+
"model.layers.43.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
| 473 |
+
"model.layers.43.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 474 |
+
"model.layers.43.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
| 475 |
+
"model.layers.43.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 476 |
+
"model.layers.44.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 477 |
+
"model.layers.44.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 478 |
+
"model.layers.44.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 479 |
+
"model.layers.44.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 480 |
+
"model.layers.44.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 481 |
+
"model.layers.44.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
| 482 |
+
"model.layers.44.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 483 |
+
"model.layers.44.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 484 |
+
"model.layers.44.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
| 485 |
+
"model.layers.44.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 486 |
+
"model.layers.44.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
| 487 |
+
"model.layers.44.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 488 |
+
"model.layers.45.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 489 |
+
"model.layers.45.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 490 |
+
"model.layers.45.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 491 |
+
"model.layers.45.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 492 |
+
"model.layers.45.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 493 |
+
"model.layers.45.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
| 494 |
+
"model.layers.45.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 495 |
+
"model.layers.45.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 496 |
+
"model.layers.45.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
| 497 |
+
"model.layers.45.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 498 |
+
"model.layers.45.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
| 499 |
+
"model.layers.45.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 500 |
+
"model.layers.46.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 501 |
+
"model.layers.46.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 502 |
+
"model.layers.46.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 503 |
+
"model.layers.46.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 504 |
+
"model.layers.46.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 505 |
+
"model.layers.46.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
| 506 |
+
"model.layers.46.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 507 |
+
"model.layers.46.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 508 |
+
"model.layers.46.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
| 509 |
+
"model.layers.46.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 510 |
+
"model.layers.46.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
| 511 |
+
"model.layers.46.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 512 |
+
"model.layers.47.input_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 513 |
+
"model.layers.47.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
|
| 514 |
+
"model.layers.47.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
|
| 515 |
+
"model.layers.47.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
|
| 516 |
+
"model.layers.47.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
|
| 517 |
+
"model.layers.47.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
|
| 518 |
+
"model.layers.47.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
|
| 519 |
+
"model.layers.47.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
|
| 520 |
+
"model.layers.47.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
|
| 521 |
+
"model.layers.47.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
|
| 522 |
+
"model.layers.47.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
|
| 523 |
+
"model.layers.47.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
|
| 524 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 525 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
|
| 526 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
|
| 527 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
|
| 528 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
|
| 529 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 530 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 531 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 532 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 533 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 534 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 535 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 536 |
+
"model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 537 |
+
"model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 538 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 539 |
+
"model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 540 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 541 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
|
| 542 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
|
| 543 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
|
| 544 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
|
| 545 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
|
| 546 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
|
| 547 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
|
| 548 |
+
"model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 549 |
+
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 550 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 551 |
+
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 552 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 553 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 554 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 555 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 556 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 557 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 558 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 559 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 560 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 561 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 562 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 563 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 564 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 565 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 566 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 567 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 568 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 569 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 570 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 571 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 572 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 573 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 574 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 575 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 576 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 577 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
|
| 578 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 579 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 580 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
|
| 581 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 582 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
|
| 583 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 584 |
+
"model.norm.weight": "model-00006-of-00006.safetensors"
|
| 585 |
+
}
|
| 586 |
+
}
|
checkpoint-28-merged/special_tokens_map.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<｜begin▁of▁sentence｜>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
}
|
| 23 |
+
}
|
checkpoint-28-merged/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
|
| 3 |
+
size 11422778
|
checkpoint-28-merged/tokenizer_config.json
ADDED
|
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"151643": {
|
| 7 |
+
"content": "<｜end▁of▁sentence｜>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"151644": {
|
| 15 |
+
"content": "<｜User｜>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": false
|
| 21 |
+
},
|
| 22 |
+
"151645": {
|
| 23 |
+
"content": "<｜Assistant｜>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": false
|
| 29 |
+
},
|
| 30 |
+
"151646": {
|
| 31 |
+
"content": "<｜begin▁of▁sentence｜>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"151647": {
|
| 39 |
+
"content": "<|EOT|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": false
|
| 45 |
+
},
|
| 46 |
+
"151648": {
|
| 47 |
+
"content": "<think>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": false
|
| 53 |
+
},
|
| 54 |
+
"151649": {
|
| 55 |
+
"content": "</think>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": false
|
| 61 |
+
},
|
| 62 |
+
"151650": {
|
| 63 |
+
"content": "<|quad_start|>",
|
| 64 |
+
"lstrip": false,
|
| 65 |
+
"normalized": false,
|
| 66 |
+
"rstrip": false,
|
| 67 |
+
"single_word": false,
|
| 68 |
+
"special": true
|
| 69 |
+
},
|
| 70 |
+
"151651": {
|
| 71 |
+
"content": "<|quad_end|>",
|
| 72 |
+
"lstrip": false,
|
| 73 |
+
"normalized": false,
|
| 74 |
+
"rstrip": false,
|
| 75 |
+
"single_word": false,
|
| 76 |
+
"special": true
|
| 77 |
+
},
|
| 78 |
+
"151652": {
|
| 79 |
+
"content": "<|vision_start|>",
|
| 80 |
+
"lstrip": false,
|
| 81 |
+
"normalized": false,
|
| 82 |
+
"rstrip": false,
|
| 83 |
+
"single_word": false,
|
| 84 |
+
"special": true
|
| 85 |
+
},
|
| 86 |
+
"151653": {
|
| 87 |
+
"content": "<|vision_end|>",
|
| 88 |
+
"lstrip": false,
|
| 89 |
+
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
+
"single_word": false,
|
| 92 |
+
"special": true
|
| 93 |
+
},
|
| 94 |
+
"151654": {
|
| 95 |
+
"content": "<|vision_pad|>",
|
| 96 |
+
"lstrip": false,
|
| 97 |
+
"normalized": false,
|
| 98 |
+
"rstrip": false,
|
| 99 |
+
"single_word": false,
|
| 100 |
+
"special": true
|
| 101 |
+
},
|
| 102 |
+
"151655": {
|
| 103 |
+
"content": "<|image_pad|>",
|
| 104 |
+
"lstrip": false,
|
| 105 |
+
"normalized": false,
|
| 106 |
+
"rstrip": false,
|
| 107 |
+
"single_word": false,
|
| 108 |
+
"special": true
|
| 109 |
+
},
|
| 110 |
+
"151656": {
|
| 111 |
+
"content": "<|video_pad|>",
|
| 112 |
+
"lstrip": false,
|
| 113 |
+
"normalized": false,
|
| 114 |
+
"rstrip": false,
|
| 115 |
+
"single_word": false,
|
| 116 |
+
"special": true
|
| 117 |
+
},
|
| 118 |
+
"151657": {
|
| 119 |
+
"content": "<tool_call>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false,
|
| 124 |
+
"special": false
|
| 125 |
+
},
|
| 126 |
+
"151658": {
|
| 127 |
+
"content": "</tool_call>",
|
| 128 |
+
"lstrip": false,
|
| 129 |
+
"normalized": false,
|
| 130 |
+
"rstrip": false,
|
| 131 |
+
"single_word": false,
|
| 132 |
+
"special": false
|
| 133 |
+
},
|
| 134 |
+
"151659": {
|
| 135 |
+
"content": "<|fim_prefix|>",
|
| 136 |
+
"lstrip": false,
|
| 137 |
+
"normalized": false,
|
| 138 |
+
"rstrip": false,
|
| 139 |
+
"single_word": false,
|
| 140 |
+
"special": false
|
| 141 |
+
},
|
| 142 |
+
"151660": {
|
| 143 |
+
"content": "<|fim_middle|>",
|
| 144 |
+
"lstrip": false,
|
| 145 |
+
"normalized": false,
|
| 146 |
+
"rstrip": false,
|
| 147 |
+
"single_word": false,
|
| 148 |
+
"special": false
|
| 149 |
+
},
|
| 150 |
+
"151661": {
|
| 151 |
+
"content": "<|fim_suffix|>",
|
| 152 |
+
"lstrip": false,
|
| 153 |
+
"normalized": false,
|
| 154 |
+
"rstrip": false,
|
| 155 |
+
"single_word": false,
|
| 156 |
+
"special": false
|
| 157 |
+
},
|
| 158 |
+
"151662": {
|
| 159 |
+
"content": "<|fim_pad|>",
|
| 160 |
+
"lstrip": false,
|
| 161 |
+
"normalized": false,
|
| 162 |
+
"rstrip": false,
|
| 163 |
+
"single_word": false,
|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
+
"151663": {
|
| 167 |
+
"content": "<|repo_name|>",
|
| 168 |
+
"lstrip": false,
|
| 169 |
+
"normalized": false,
|
| 170 |
+
"rstrip": false,
|
| 171 |
+
"single_word": false,
|
| 172 |
+
"special": false
|
| 173 |
+
},
|
| 174 |
+
"151664": {
|
| 175 |
+
"content": "<|file_sep|>",
|
| 176 |
+
"lstrip": false,
|
| 177 |
+
"normalized": false,
|
| 178 |
+
"rstrip": false,
|
| 179 |
+
"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
}
|
| 182 |
+
},
|
| 183 |
+
"bos_token": "<｜begin▁of▁sentence｜>",
|
| 184 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜>'}}{% endif %}",
|
| 185 |
+
"clean_up_tokenization_spaces": false,
|
| 186 |
+
"eos_token": "<｜end▁of▁sentence｜>",
|
| 187 |
+
"extra_special_tokens": {},
|
| 188 |
+
"legacy": true,
|
| 189 |
+
"model_max_length": 16384,
|
| 190 |
+
"pad_token": "<｜end▁of▁sentence｜>",
|
| 191 |
+
"sp_model_kwargs": {},
|
| 192 |
+
"tokenizer_class": "LlamaTokenizerFast",
|
| 193 |
+
"unk_token": null,
|
| 194 |
+
"use_default_system_prompt": false
|
| 195 |
+
}
|
checkpoint-28/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-28/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": 24,
|
| 3 |
"best_metric": 0.04339282959699631,
|
| 4 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 5 |
"epoch": 6.842105263157895,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 28,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
},
|
|
@@ -73,7 +72,7 @@
|
|
| 73 |
"kl": 0.00017762184143066406,
|
| 74 |
"learning_rate": 8.333333333333334e-05,
|
| 75 |
"loss": -0.09315311908721924,
|
| 76 |
-
"memory(GiB)":
|
| 77 |
"response_clip_ratio": 0.119140625,
|
| 78 |
"reward": -0.005135859013535082,
|
| 79 |
"reward_std": 0.07994875870645046,
|
|
@@ -87,7 +86,7 @@
|
|
| 87 |
"grad_norm": 0.18263348937034607,
|
| 88 |
"learning_rate": 0.0001,
|
| 89 |
"loss": -0.1041698157787323,
|
| 90 |
-
"memory(GiB)":
|
| 91 |
"step": 6,
|
| 92 |
"train_speed(iter/s)": 0.000459
|
| 93 |
},
|
|
@@ -102,7 +101,7 @@
|
|
| 102 |
"eval_reward_std": 0.08769983053207397,
|
| 103 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 104 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 105 |
-
"eval_runtime": 1030.
|
| 106 |
"eval_samples_per_second": 0.001,
|
| 107 |
"eval_steps_per_second": 0.001,
|
| 108 |
"step": 6
|
|
@@ -115,7 +114,7 @@
|
|
| 115 |
"kl": 0.017406463623046875,
|
| 116 |
"learning_rate": 9.991540791356342e-05,
|
| 117 |
"loss": -0.051375165581703186,
|
| 118 |
-
"memory(GiB)":
|
| 119 |
"response_clip_ratio": 0.1484375,
|
| 120 |
"reward": 0.004909618757665157,
|
| 121 |
"reward_std": 0.08167182095348835,
|
|
@@ -131,7 +130,7 @@
|
|
| 131 |
"kl": 0.089599609375,
|
| 132 |
"learning_rate": 9.966191788709716e-05,
|
| 133 |
"loss": -0.05105742812156677,
|
| 134 |
-
"memory(GiB)":
|
| 135 |
"step": 8,
|
| 136 |
"train_speed(iter/s)": 0.000433
|
| 137 |
},
|
|
@@ -143,7 +142,7 @@
|
|
| 143 |
"kl": 0.0963134765625,
|
| 144 |
"learning_rate": 9.924038765061042e-05,
|
| 145 |
"loss": -0.05842069163918495,
|
| 146 |
-
"memory(GiB)":
|
| 147 |
"response_clip_ratio": 0.255859375,
|
| 148 |
"reward": 0.03643610421568155,
|
| 149 |
"reward_std": 0.11898956261575222,
|
|
@@ -159,7 +158,7 @@
|
|
| 159 |
"kl": 0.1185302734375,
|
| 160 |
"learning_rate": 9.865224352899119e-05,
|
| 161 |
"loss": -0.06491819024085999,
|
| 162 |
-
"memory(GiB)":
|
| 163 |
"step": 10,
|
| 164 |
"train_speed(iter/s)": 0.000436
|
| 165 |
},
|
|
@@ -171,7 +170,7 @@
|
|
| 171 |
"kl": 0.1275634765625,
|
| 172 |
"learning_rate": 9.789947561577445e-05,
|
| 173 |
"loss": -0.04600231721997261,
|
| 174 |
-
"memory(GiB)":
|
| 175 |
"response_clip_ratio": 0.361328125,
|
| 176 |
"reward": 0.023204635945148766,
|
| 177 |
"reward_std": 0.10593634657561779,
|
|
@@ -185,7 +184,7 @@
|
|
| 185 |
"grad_norm": 0.05781339108943939,
|
| 186 |
"learning_rate": 9.698463103929542e-05,
|
| 187 |
"loss": -0.05069056898355484,
|
| 188 |
-
"memory(GiB)":
|
| 189 |
"step": 12,
|
| 190 |
"train_speed(iter/s)": 0.000439
|
| 191 |
},
|
|
@@ -200,7 +199,7 @@
|
|
| 200 |
"eval_reward_std": 0.10685288906097412,
|
| 201 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 202 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 203 |
-
"eval_runtime": 1025.
|
| 204 |
"eval_samples_per_second": 0.001,
|
| 205 |
"eval_steps_per_second": 0.001,
|
| 206 |
"step": 12
|
|
@@ -213,7 +212,7 @@
|
|
| 213 |
"kl": 0.151123046875,
|
| 214 |
"learning_rate": 9.591080534401371e-05,
|
| 215 |
"loss": -0.02191038429737091,
|
| 216 |
-
"memory(GiB)":
|
| 217 |
"response_clip_ratio": 0.419921875,
|
| 218 |
"reward": 0.035983758978545666,
|
| 219 |
"reward_std": 0.11553369648754597,
|
|
@@ -229,7 +228,7 @@
|
|
| 229 |
"kl": 0.169189453125,
|
| 230 |
"learning_rate": 9.468163201617062e-05,
|
| 231 |
"loss": -0.022672578692436218,
|
| 232 |
-
"memory(GiB)":
|
| 233 |
"step": 14,
|
| 234 |
"train_speed(iter/s)": 0.000427
|
| 235 |
},
|
|
@@ -241,7 +240,7 @@
|
|
| 241 |
"kl": 0.166748046875,
|
| 242 |
"learning_rate": 9.330127018922194e-05,
|
| 243 |
"loss": -0.059799157083034515,
|
| 244 |
-
"memory(GiB)":
|
| 245 |
"response_clip_ratio": 0.4765625,
|
| 246 |
"reward": 0.03584331553429365,
|
| 247 |
"reward_std": 0.11829411797225475,
|
|
@@ -257,7 +256,7 @@
|
|
| 257 |
"kl": 0.16748046875,
|
| 258 |
"learning_rate": 9.177439057064683e-05,
|
| 259 |
"loss": -0.06071458384394646,
|
| 260 |
-
"memory(GiB)":
|
| 261 |
"step": 16,
|
| 262 |
"train_speed(iter/s)": 0.000431
|
| 263 |
},
|
|
@@ -269,7 +268,7 @@
|
|
| 269 |
"kl": 0.1787109375,
|
| 270 |
"learning_rate": 9.01061596377522e-05,
|
| 271 |
"loss": -0.04504441097378731,
|
| 272 |
-
"memory(GiB)":
|
| 273 |
"response_clip_ratio": 0.5625,
|
| 274 |
"reward": 0.027318883687257767,
|
| 275 |
"reward_std": 0.10441224090754986,
|
|
@@ -283,7 +282,7 @@
|
|
| 283 |
"grad_norm": 0.005998397711664438,
|
| 284 |
"learning_rate": 8.83022221559489e-05,
|
| 285 |
"loss": -0.045487549155950546,
|
| 286 |
-
"memory(GiB)":
|
| 287 |
"step": 18,
|
| 288 |
"train_speed(iter/s)": 0.000432
|
| 289 |
},
|
|
@@ -298,7 +297,7 @@
|
|
| 298 |
"eval_reward_std": 0.10691346973180771,
|
| 299 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 300 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 301 |
-
"eval_runtime": 1041.
|
| 302 |
"eval_samples_per_second": 0.001,
|
| 303 |
"eval_steps_per_second": 0.001,
|
| 304 |
"step": 18
|
|
@@ -311,7 +310,7 @@
|
|
| 311 |
"kl": 0.1820068359375,
|
| 312 |
"learning_rate": 8.636868207865244e-05,
|
| 313 |
"loss": -0.03466903418302536,
|
| 314 |
-
"memory(GiB)":
|
| 315 |
"response_clip_ratio": 0.466796875,
|
| 316 |
"reward": 0.04069916973821819,
|
| 317 |
"reward_std": 0.11991005763411522,
|
|
@@ -327,7 +326,7 @@
|
|
| 327 |
"kl": 0.19287109375,
|
| 328 |
"learning_rate": 8.43120818934367e-05,
|
| 329 |
"loss": -0.03502114117145538,
|
| 330 |
-
"memory(GiB)":
|
| 331 |
"step": 20,
|
| 332 |
"train_speed(iter/s)": 0.000424
|
| 333 |
},
|
|
@@ -339,14 +338,14 @@
|
|
| 339 |
"kl": 0.17626953125,
|
| 340 |
"learning_rate": 8.213938048432697e-05,
|
| 341 |
"loss": -0.008662773296236992,
|
| 342 |
-
"memory(GiB)":
|
| 343 |
"response_clip_ratio": 0.5625,
|
| 344 |
"reward": 0.04996980866417289,
|
| 345 |
"reward_std": 0.13849420100450516,
|
| 346 |
"rewards/CosineReward": 0.049969930201768875,
|
| 347 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 348 |
"step": 21,
|
| 349 |
-
"train_speed(iter/s)": 0.
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"clip_ratio": 5.869188044016482e-05,
|
|
@@ -355,7 +354,7 @@
|
|
| 355 |
"kl": 0.178955078125,
|
| 356 |
"learning_rate": 7.985792958513931e-05,
|
| 357 |
"loss": -0.008743642829358578,
|
| 358 |
-
"memory(GiB)":
|
| 359 |
"step": 22,
|
| 360 |
"train_speed(iter/s)": 0.000426
|
| 361 |
},
|
|
@@ -367,7 +366,7 @@
|
|
| 367 |
"kl": 0.1796875,
|
| 368 |
"learning_rate": 7.74754489035403e-05,
|
| 369 |
"loss": -0.03423420712351799,
|
| 370 |
-
"memory(GiB)":
|
| 371 |
"response_clip_ratio": 0.583984375,
|
| 372 |
"reward": 0.034468831261619925,
|
| 373 |
"reward_std": 0.11841745302081108,
|
|
@@ -381,7 +380,7 @@
|
|
| 381 |
"grad_norm": 0.014131724834442139,
|
| 382 |
"learning_rate": 7.500000000000001e-05,
|
| 383 |
"loss": -0.03426633030176163,
|
| 384 |
-
"memory(GiB)":
|
| 385 |
"step": 24,
|
| 386 |
"train_speed(iter/s)": 0.000427
|
| 387 |
},
|
|
@@ -396,7 +395,7 @@
|
|
| 396 |
"eval_reward_std": 0.10456253588199615,
|
| 397 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 398 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 399 |
-
"eval_runtime": 1045.
|
| 400 |
"eval_samples_per_second": 0.001,
|
| 401 |
"eval_steps_per_second": 0.001,
|
| 402 |
"step": 24
|
|
@@ -409,7 +408,7 @@
|
|
| 409 |
"kl": 0.1800537109375,
|
| 410 |
"learning_rate": 7.243995901002312e-05,
|
| 411 |
"loss": -0.02097315341234207,
|
| 412 |
-
"memory(GiB)":
|
| 413 |
"response_clip_ratio": 0.6171875,
|
| 414 |
"reward": 0.03010205877944827,
|
| 415 |
"reward_std": 0.10742511600255966,
|
|
@@ -425,7 +424,7 @@
|
|
| 425 |
"kl": 0.18408203125,
|
| 426 |
"learning_rate": 6.980398830195785e-05,
|
| 427 |
"loss": -0.02103913575410843,
|
| 428 |
-
"memory(GiB)":
|
| 429 |
"step": 26,
|
| 430 |
"train_speed(iter/s)": 0.000421
|
| 431 |
},
|
|
@@ -437,7 +436,7 @@
|
|
| 437 |
"kl": 0.174560546875,
|
| 438 |
"learning_rate": 6.710100716628344e-05,
|
| 439 |
"loss": -0.03593946248292923,
|
| 440 |
-
"memory(GiB)":
|
| 441 |
"response_clip_ratio": 0.513671875,
|
| 442 |
"reward": 0.04752760287374258,
|
| 443 |
"reward_std": 0.14935147762298584,
|
|
@@ -453,7 +452,7 @@
|
|
| 453 |
"kl": 0.182373046875,
|
| 454 |
"learning_rate": 6.434016163555452e-05,
|
| 455 |
"loss": -0.03595500811934471,
|
| 456 |
-
"memory(GiB)":
|
| 457 |
"step": 28,
|
| 458 |
"train_speed(iter/s)": 0.000422
|
| 459 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": 0.04339282959699631,
|
| 3 |
"best_model_checkpoint": "/mnt/nvme5n1p1/trained_grpo_distill_14b_rl_70_s3/v3-20250330-200345/checkpoint-24",
|
| 4 |
"epoch": 6.842105263157895,
|
|
|
|
| 6 |
"global_step": 28,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
},
|
|
|
|
| 72 |
"kl": 0.00017762184143066406,
|
| 73 |
"learning_rate": 8.333333333333334e-05,
|
| 74 |
"loss": -0.09315311908721924,
|
| 75 |
+
"memory(GiB)": 182.91,
|
| 76 |
"response_clip_ratio": 0.119140625,
|
| 77 |
"reward": -0.005135859013535082,
|
| 78 |
"reward_std": 0.07994875870645046,
|
|
|
|
| 86 |
"grad_norm": 0.18263348937034607,
|
| 87 |
"learning_rate": 0.0001,
|
| 88 |
"loss": -0.1041698157787323,
|
| 89 |
+
"memory(GiB)": 182.91,
|
| 90 |
"step": 6,
|
| 91 |
"train_speed(iter/s)": 0.000459
|
| 92 |
},
|
|
|
|
| 101 |
"eval_reward_std": 0.08769983053207397,
|
| 102 |
"eval_rewards/CosineReward": 0.012996694073081017,
|
| 103 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 104 |
+
"eval_runtime": 1030.1127,
|
| 105 |
"eval_samples_per_second": 0.001,
|
| 106 |
"eval_steps_per_second": 0.001,
|
| 107 |
"step": 6
|
|
|
|
| 114 |
"kl": 0.017406463623046875,
|
| 115 |
"learning_rate": 9.991540791356342e-05,
|
| 116 |
"loss": -0.051375165581703186,
|
| 117 |
+
"memory(GiB)": 182.91,
|
| 118 |
"response_clip_ratio": 0.1484375,
|
| 119 |
"reward": 0.004909618757665157,
|
| 120 |
"reward_std": 0.08167182095348835,
|
|
|
|
| 130 |
"kl": 0.089599609375,
|
| 131 |
"learning_rate": 9.966191788709716e-05,
|
| 132 |
"loss": -0.05105742812156677,
|
| 133 |
+
"memory(GiB)": 182.91,
|
| 134 |
"step": 8,
|
| 135 |
"train_speed(iter/s)": 0.000433
|
| 136 |
},
|
|
|
|
| 142 |
"kl": 0.0963134765625,
|
| 143 |
"learning_rate": 9.924038765061042e-05,
|
| 144 |
"loss": -0.05842069163918495,
|
| 145 |
+
"memory(GiB)": 182.91,
|
| 146 |
"response_clip_ratio": 0.255859375,
|
| 147 |
"reward": 0.03643610421568155,
|
| 148 |
"reward_std": 0.11898956261575222,
|
|
|
|
| 158 |
"kl": 0.1185302734375,
|
| 159 |
"learning_rate": 9.865224352899119e-05,
|
| 160 |
"loss": -0.06491819024085999,
|
| 161 |
+
"memory(GiB)": 182.91,
|
| 162 |
"step": 10,
|
| 163 |
"train_speed(iter/s)": 0.000436
|
| 164 |
},
|
|
|
|
| 170 |
"kl": 0.1275634765625,
|
| 171 |
"learning_rate": 9.789947561577445e-05,
|
| 172 |
"loss": -0.04600231721997261,
|
| 173 |
+
"memory(GiB)": 182.91,
|
| 174 |
"response_clip_ratio": 0.361328125,
|
| 175 |
"reward": 0.023204635945148766,
|
| 176 |
"reward_std": 0.10593634657561779,
|
|
|
|
| 184 |
"grad_norm": 0.05781339108943939,
|
| 185 |
"learning_rate": 9.698463103929542e-05,
|
| 186 |
"loss": -0.05069056898355484,
|
| 187 |
+
"memory(GiB)": 182.91,
|
| 188 |
"step": 12,
|
| 189 |
"train_speed(iter/s)": 0.000439
|
| 190 |
},
|
|
|
|
| 199 |
"eval_reward_std": 0.10685288906097412,
|
| 200 |
"eval_rewards/CosineReward": 0.03234308212995529,
|
| 201 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 202 |
+
"eval_runtime": 1025.9041,
|
| 203 |
"eval_samples_per_second": 0.001,
|
| 204 |
"eval_steps_per_second": 0.001,
|
| 205 |
"step": 12
|
|
|
|
| 212 |
"kl": 0.151123046875,
|
| 213 |
"learning_rate": 9.591080534401371e-05,
|
| 214 |
"loss": -0.02191038429737091,
|
| 215 |
+
"memory(GiB)": 182.91,
|
| 216 |
"response_clip_ratio": 0.419921875,
|
| 217 |
"reward": 0.035983758978545666,
|
| 218 |
"reward_std": 0.11553369648754597,
|
|
|
|
| 228 |
"kl": 0.169189453125,
|
| 229 |
"learning_rate": 9.468163201617062e-05,
|
| 230 |
"loss": -0.022672578692436218,
|
| 231 |
+
"memory(GiB)": 182.91,
|
| 232 |
"step": 14,
|
| 233 |
"train_speed(iter/s)": 0.000427
|
| 234 |
},
|
|
|
|
| 240 |
"kl": 0.166748046875,
|
| 241 |
"learning_rate": 9.330127018922194e-05,
|
| 242 |
"loss": -0.059799157083034515,
|
| 243 |
+
"memory(GiB)": 182.91,
|
| 244 |
"response_clip_ratio": 0.4765625,
|
| 245 |
"reward": 0.03584331553429365,
|
| 246 |
"reward_std": 0.11829411797225475,
|
|
|
|
| 256 |
"kl": 0.16748046875,
|
| 257 |
"learning_rate": 9.177439057064683e-05,
|
| 258 |
"loss": -0.06071458384394646,
|
| 259 |
+
"memory(GiB)": 182.91,
|
| 260 |
"step": 16,
|
| 261 |
"train_speed(iter/s)": 0.000431
|
| 262 |
},
|
|
|
|
| 268 |
"kl": 0.1787109375,
|
| 269 |
"learning_rate": 9.01061596377522e-05,
|
| 270 |
"loss": -0.04504441097378731,
|
| 271 |
+
"memory(GiB)": 182.91,
|
| 272 |
"response_clip_ratio": 0.5625,
|
| 273 |
"reward": 0.027318883687257767,
|
| 274 |
"reward_std": 0.10441224090754986,
|
|
|
|
| 282 |
"grad_norm": 0.005998397711664438,
|
| 283 |
"learning_rate": 8.83022221559489e-05,
|
| 284 |
"loss": -0.045487549155950546,
|
| 285 |
+
"memory(GiB)": 182.91,
|
| 286 |
"step": 18,
|
| 287 |
"train_speed(iter/s)": 0.000432
|
| 288 |
},
|
|
|
|
| 297 |
"eval_reward_std": 0.10691346973180771,
|
| 298 |
"eval_rewards/CosineReward": 0.03729327768087387,
|
| 299 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 300 |
+
"eval_runtime": 1041.231,
|
| 301 |
"eval_samples_per_second": 0.001,
|
| 302 |
"eval_steps_per_second": 0.001,
|
| 303 |
"step": 18
|
|
|
|
| 310 |
"kl": 0.1820068359375,
|
| 311 |
"learning_rate": 8.636868207865244e-05,
|
| 312 |
"loss": -0.03466903418302536,
|
| 313 |
+
"memory(GiB)": 182.91,
|
| 314 |
"response_clip_ratio": 0.466796875,
|
| 315 |
"reward": 0.04069916973821819,
|
| 316 |
"reward_std": 0.11991005763411522,
|
|
|
|
| 326 |
"kl": 0.19287109375,
|
| 327 |
"learning_rate": 8.43120818934367e-05,
|
| 328 |
"loss": -0.03502114117145538,
|
| 329 |
+
"memory(GiB)": 182.91,
|
| 330 |
"step": 20,
|
| 331 |
"train_speed(iter/s)": 0.000424
|
| 332 |
},
|
|
|
|
| 338 |
"kl": 0.17626953125,
|
| 339 |
"learning_rate": 8.213938048432697e-05,
|
| 340 |
"loss": -0.008662773296236992,
|
| 341 |
+
"memory(GiB)": 182.91,
|
| 342 |
"response_clip_ratio": 0.5625,
|
| 343 |
"reward": 0.04996980866417289,
|
| 344 |
"reward_std": 0.13849420100450516,
|
| 345 |
"rewards/CosineReward": 0.049969930201768875,
|
| 346 |
"rewards/RepetitionPenalty": -1.1864573679076784e-07,
|
| 347 |
"step": 21,
|
| 348 |
+
"train_speed(iter/s)": 0.000408
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"clip_ratio": 5.869188044016482e-05,
|
|
|
|
| 354 |
"kl": 0.178955078125,
|
| 355 |
"learning_rate": 7.985792958513931e-05,
|
| 356 |
"loss": -0.008743642829358578,
|
| 357 |
+
"memory(GiB)": 182.91,
|
| 358 |
"step": 22,
|
| 359 |
"train_speed(iter/s)": 0.000426
|
| 360 |
},
|
|
|
|
| 366 |
"kl": 0.1796875,
|
| 367 |
"learning_rate": 7.74754489035403e-05,
|
| 368 |
"loss": -0.03423420712351799,
|
| 369 |
+
"memory(GiB)": 182.91,
|
| 370 |
"response_clip_ratio": 0.583984375,
|
| 371 |
"reward": 0.034468831261619925,
|
| 372 |
"reward_std": 0.11841745302081108,
|
|
|
|
| 380 |
"grad_norm": 0.014131724834442139,
|
| 381 |
"learning_rate": 7.500000000000001e-05,
|
| 382 |
"loss": -0.03426633030176163,
|
| 383 |
+
"memory(GiB)": 182.91,
|
| 384 |
"step": 24,
|
| 385 |
"train_speed(iter/s)": 0.000427
|
| 386 |
},
|
|
|
|
| 395 |
"eval_reward_std": 0.10456253588199615,
|
| 396 |
"eval_rewards/CosineReward": 0.04339282959699631,
|
| 397 |
"eval_rewards/RepetitionPenalty": 0.0,
|
| 398 |
+
"eval_runtime": 1045.0632,
|
| 399 |
"eval_samples_per_second": 0.001,
|
| 400 |
"eval_steps_per_second": 0.001,
|
| 401 |
"step": 24
|
|
|
|
| 408 |
"kl": 0.1800537109375,
|
| 409 |
"learning_rate": 7.243995901002312e-05,
|
| 410 |
"loss": -0.02097315341234207,
|
| 411 |
+
"memory(GiB)": 182.91,
|
| 412 |
"response_clip_ratio": 0.6171875,
|
| 413 |
"reward": 0.03010205877944827,
|
| 414 |
"reward_std": 0.10742511600255966,
|
|
|
|
| 424 |
"kl": 0.18408203125,
|
| 425 |
"learning_rate": 6.980398830195785e-05,
|
| 426 |
"loss": -0.02103913575410843,
|
| 427 |
+
"memory(GiB)": 182.91,
|
| 428 |
"step": 26,
|
| 429 |
"train_speed(iter/s)": 0.000421
|
| 430 |
},
|
|
|
|
| 436 |
"kl": 0.174560546875,
|
| 437 |
"learning_rate": 6.710100716628344e-05,
|
| 438 |
"loss": -0.03593946248292923,
|
| 439 |
+
"memory(GiB)": 182.91,
|
| 440 |
"response_clip_ratio": 0.513671875,
|
| 441 |
"reward": 0.04752760287374258,
|
| 442 |
"reward_std": 0.14935147762298584,
|
|
|
|
| 452 |
"kl": 0.182373046875,
|
| 453 |
"learning_rate": 6.434016163555452e-05,
|
| 454 |
"loss": -0.03595500811934471,
|
| 455 |
+
"memory(GiB)": 182.91,
|
| 456 |
"step": 28,
|
| 457 |
"train_speed(iter/s)": 0.000422
|
| 458 |
}
|
checkpoint-28/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|
checkpoint-4/adapter_config.json
CHANGED
|
@@ -23,13 +23,13 @@
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
-
"o_proj",
|
| 27 |
-
"gate_proj",
|
| 28 |
"v_proj",
|
|
|
|
| 29 |
"k_proj",
|
|
|
|
| 30 |
"up_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 23 |
"rank_pattern": {},
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
|
|
|
|
|
|
| 26 |
"v_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
"up_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-4/trainer_state.json
CHANGED
|
@@ -1,5 +1,4 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
"epoch": 0.8421052631578947,
|
|
@@ -7,7 +6,7 @@
|
|
| 7 |
"global_step": 4,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
-
"is_world_process_zero":
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"clip_ratio": 0.0,
|
|
@@ -17,14 +16,14 @@
|
|
| 17 |
"kl": 0.0,
|
| 18 |
"learning_rate": 1.6666666666666667e-05,
|
| 19 |
"loss": -0.11016345024108887,
|
| 20 |
-
"memory(GiB)":
|
| 21 |
"response_clip_ratio": 0.11328125,
|
| 22 |
"reward": -0.002658387296833098,
|
| 23 |
"reward_std": 0.06134121119976044,
|
| 24 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 25 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 26 |
"step": 1,
|
| 27 |
-
"train_speed(iter/s)": 0.
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"clip_ratio": 0.0,
|
|
@@ -33,9 +32,9 @@
|
|
| 33 |
"kl": 0.0,
|
| 34 |
"learning_rate": 3.3333333333333335e-05,
|
| 35 |
"loss": -0.11016345024108887,
|
| 36 |
-
"memory(GiB)":
|
| 37 |
"step": 2,
|
| 38 |
-
"train_speed(iter/s)": 0.
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"clip_ratio": 1.3441811461234465e-05,
|
|
@@ -45,7 +44,7 @@
|
|
| 45 |
"kl": 9.50181856751442e-07,
|
| 46 |
"learning_rate": 5e-05,
|
| 47 |
"loss": -0.06604708731174469,
|
| 48 |
-
"memory(GiB)":
|
| 49 |
"response_clip_ratio": 0.13671875,
|
| 50 |
"reward": 0.0006296975770965219,
|
| 51 |
"reward_std": 0.07172460854053497,
|
|
@@ -61,7 +60,7 @@
|
|
| 61 |
"kl": 1.1101365089416504e-05,
|
| 62 |
"learning_rate": 6.666666666666667e-05,
|
| 63 |
"loss": -0.06727766245603561,
|
| 64 |
-
"memory(GiB)":
|
| 65 |
"step": 4,
|
| 66 |
"train_speed(iter/s)": 0.000458
|
| 67 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 0.8421052631578947,
|
|
|
|
| 6 |
"global_step": 4,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
|
|
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 1.6666666666666667e-05,
|
| 18 |
"loss": -0.11016345024108887,
|
| 19 |
+
"memory(GiB)": 182.91,
|
| 20 |
"response_clip_ratio": 0.11328125,
|
| 21 |
"reward": -0.002658387296833098,
|
| 22 |
"reward_std": 0.06134121119976044,
|
| 23 |
"rewards/CosineReward": -0.0026579967816360295,
|
| 24 |
"rewards/RepetitionPenalty": -3.8975886695880035e-07,
|
| 25 |
"step": 1,
|
| 26 |
+
"train_speed(iter/s)": 0.000242
|
| 27 |
},
|
| 28 |
{
|
| 29 |
"clip_ratio": 0.0,
|
|
|
|
| 32 |
"kl": 0.0,
|
| 33 |
"learning_rate": 3.3333333333333335e-05,
|
| 34 |
"loss": -0.11016345024108887,
|
| 35 |
+
"memory(GiB)": 182.91,
|
| 36 |
"step": 2,
|
| 37 |
+
"train_speed(iter/s)": 0.000467
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 1.3441811461234465e-05,
|
|
|
|
| 44 |
"kl": 9.50181856751442e-07,
|
| 45 |
"learning_rate": 5e-05,
|
| 46 |
"loss": -0.06604708731174469,
|
| 47 |
+
"memory(GiB)": 182.91,
|
| 48 |
"response_clip_ratio": 0.13671875,
|
| 49 |
"reward": 0.0006296975770965219,
|
| 50 |
"reward_std": 0.07172460854053497,
|
|
|
|
| 60 |
"kl": 1.1101365089416504e-05,
|
| 61 |
"learning_rate": 6.666666666666667e-05,
|
| 62 |
"loss": -0.06727766245603561,
|
| 63 |
+
"memory(GiB)": 182.91,
|
| 64 |
"step": 4,
|
| 65 |
"train_speed(iter/s)": 0.000458
|
| 66 |
}
|
checkpoint-4/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 9809
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1207fcb9d91c7deb13a80104f3ca89016b4cff3ef13ebd136ee6320d5a9888bb
|
| 3 |
size 9809
|