logs/sft-multitq.log

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Loading tokenizer + model: Qwen/Qwen3-8B

Loading weights:   0%|          | 0/399 [00:00<?, ?it/s]
Loading weights: 100%|██████████| 399/399 [00:00<00:00, 5109.18it/s]
[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': 151643}.
trainable params: 30,670,848 || all params: 8,221,406,208 || trainable%: 0.3731
Building dataset from ../outputs/sft_data_multitq_5k.jsonl (limit=None)
  4998 examples
Starting training

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{'loss': '1.287', 'grad_norm': '1.795', 'learning_rate': '1.274e-06', 'epoch': '1.791'}
{'loss': '1.264', 'grad_norm': '2.716', 'learning_rate': '1.084e-06', 'epoch': '1.823'}
{'loss': '1.146', 'grad_norm': '2.313', 'learning_rate': '8.935e-07', 'epoch': '1.855'}
{'loss': '1.17', 'grad_norm': '2.066', 'learning_rate': '7.034e-07', 'epoch': '1.887'}
{'loss': '1.192', 'grad_norm': '1.804', 'learning_rate': '5.133e-07', 'epoch': '1.919'}
{'loss': '1.393', 'grad_norm': '3.937', 'learning_rate': '3.232e-07', 'epoch': '1.951'}
{'loss': '1.149', 'grad_norm': '2.496', 'learning_rate': '1.331e-07', 'epoch': '1.983'}
{'train_runtime': '1439', 'train_samples_per_second': '6.947', 'train_steps_per_second': '0.435', 'train_loss': '1.92', 'epoch': '2'}
Saved final model to ../checkpoints/sft-multitq/final