nohup: ignoring input Loading Qwen2.5-Coder-1.5B... Loading weights: 0%| | 0/338 [00:00= 0) instead. torch._check_is_size(blocksize) Loading weights: 1%| | 3/338 [00:00<00:13, 25.64it/s] Loading weights: 15%|█▌ | 52/338 [00:00<00:01, 276.29it/s] Loading weights: 30%|██▉ | 101/338 [00:00<00:00, 368.26it/s] Loading weights: 47%|████▋ | 159/338 [00:00<00:00, 443.26it/s] Loading weights: 62%|██████▏ | 209/338 [00:00<00:00, 459.99it/s] Loading weights: 79%|███████▉ | 267/338 [00:00<00:00, 499.35it/s] Loading weights: 94%|█████████▍| 318/338 [00:00<00:00, 499.07it/s] Loading weights: 100%|██████████| 338/338 [00:00<00:00, 445.27it/s] Model loaded. Training with schema-aware prompts... [transformers] The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'bos_token_id': None, 'pad_token_id': 151645}. 0%| | 0/500 [00:00 trainer.train() ~~~~~~~~~~~~~^^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/transformers/trainer.py", line 1427, in train return inner_training_loop( args=args, ...<2 lines>... ignore_keys_for_eval=ignore_keys_for_eval, ) File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/transformers/trainer.py", line 1509, in _inner_training_loop self._run_epoch( ~~~~~~~~~~~~~~~^ model=model, ^^^^^^^^^^^^ ...<9 lines>... steps_trained_in_current_epoch=steps_trained_in_current_epoch, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/transformers/trainer.py", line 1737, in _run_epoch tr_loss_step = self.training_step(model, inputs, num_items_in_batch) File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/trl/trainer/grpo_trainer.py", line 1113, in training_step output = super().training_step(model, inputs, num_items_in_batch) File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/transformers/trainer.py", line 1937, in training_step self.accelerator.backward(loss, **kwargs) ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/accelerate/accelerator.py", line 2838, in backward loss.backward(**kwargs) ~~~~~~~~~~~~~^^^^^^^^^^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/torch/_tensor.py", line 631, in backward torch.autograd.backward( ~~~~~~~~~~~~~~~~~~~~~~~^ self, gradient, retain_graph, create_graph, inputs=inputs ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/torch/autograd/__init__.py", line 381, in backward _engine_run_backward( ~~~~~~~~~~~~~~~~~~~~^ tensors, ^^^^^^^^ ...<5 lines>... accumulate_grad=True, ^^^^^^^^^^^^^^^^^^^^^ ) ^ File "/home/zeroij/.local/share/mise/installs/python/3.14.4/lib/python3.14/site-packages/torch/autograd/graph.py", line 869, in _engine_run_backward return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ t_outputs, *args, **kwargs ^^^^^^^^^^^^^^^^^^^^^^^^^^ ) # Calls into the C++ engine to run the backward pass ^ KeyboardInterrupt