End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: answerdotai/ModernBERT-large
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: pangolin-large
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# pangolin-large
+
+This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0225
+- F1: 0.9904
+- Accuracy: 0.9937
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
+| 0.1519        | 0.1042 | 100  | 0.1354          | 0.9229 | 0.9534   |
+| 0.068         | 0.2083 | 200  | 0.0553          | 0.9689 | 0.9797   |
+| 0.0458        | 0.3125 | 300  | 0.0555          | 0.9758 | 0.9844   |
+| 0.0389        | 0.4167 | 400  | 0.0442          | 0.9804 | 0.9874   |
+| 0.04          | 0.5208 | 500  | 0.0323          | 0.9842 | 0.9897   |
+| 0.0308        | 0.625  | 600  | 0.0357          | 0.9836 | 0.9894   |
+| 0.0357        | 0.7292 | 700  | 0.0336          | 0.9861 | 0.9909   |
+| 0.0306        | 0.8333 | 800  | 0.0299          | 0.9880 | 0.9921   |
+| 0.0246        | 0.9375 | 900  | 0.0338          | 0.9846 | 0.9900   |
+| 0.0195        | 1.0417 | 1000 | 0.0260          | 0.9881 | 0.9922   |
+| 0.0124        | 1.1458 | 1100 | 0.0225          | 0.9887 | 0.9926   |
+| 0.005         | 1.25   | 1200 | 0.0286          | 0.9874 | 0.9917   |
+| 0.0075        | 1.3542 | 1300 | 0.0313          | 0.9897 | 0.9933   |
+| 0.0065        | 1.4583 | 1400 | 0.0318          | 0.9892 | 0.9930   |
+| 0.0093        | 1.5625 | 1500 | 0.0257          | 0.9903 | 0.9937   |
+| 0.0099        | 1.6667 | 1600 | 0.0233          | 0.9889 | 0.9927   |
+| 0.0054        | 1.7708 | 1700 | 0.0221          | 0.9905 | 0.9938   |
+| 0.0077        | 1.875  | 1800 | 0.0222          | 0.9907 | 0.9939   |
+| 0.0052        | 1.9792 | 1900 | 0.0225          | 0.9904 | 0.9937   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "answerdotai/ModernBERT-large",
+  "architectures": [
+    "ModernBertForSequenceClassification"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 50281,
+  "classifier_activation": "gelu",
+  "classifier_bias": false,
+  "classifier_dropout": 0.0,
+  "classifier_pooling": "mean",
+  "cls_token_id": 50281,
+  "decoder_bias": true,
+  "deterministic_flash_attn": false,
+  "embedding_dropout": 0.0,
+  "eos_token_id": 50282,
+  "global_attn_every_n_layers": 3,
+  "global_rope_theta": 160000.0,
+  "gradient_checkpointing": false,
+  "hidden_activation": "gelu",
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "safe",
+    "1": "unsafe"
+  },
+  "initializer_cutoff_factor": 2.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 2624,
+  "label2id": {
+    "safe": "0",
+    "unsafe": "1"
+  },
+  "layer_norm_eps": 1e-05,
+  "local_attention": 128,
+  "local_rope_theta": 10000.0,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "mlp_dropout": 0.0,
+  "model_type": "modernbert",
+  "norm_bias": false,
+  "norm_eps": 1e-05,
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "pad_token_id": 50283,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "reference_compile": true,
+  "repad_logits_with_grad": false,
+  "sep_token_id": 50282,
+  "sparse_pred_ignore_index": -100,
+  "sparse_prediction": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "vocab_size": 50368
+}

model.safetensors

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+size 1583351632

training_args.bin

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