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--- |
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library_name: peft |
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license: other |
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base_model: deepseek-ai/deepseek-coder-1.3b-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: lemexp-processed-task1_min_symbols_lemma_command_small-deepseek-coder-1.3b-base |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lemexp-processed-task1_min_symbols_lemma_command_small-deepseek-coder-1.3b-base |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4329 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:------:|:---------------:| |
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| 0.6364 | 0.2000 | 3683 | 0.6357 | |
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| 0.5857 | 0.4001 | 7366 | 0.5827 | |
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| 0.5682 | 0.6001 | 11049 | 0.5516 | |
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| 0.5421 | 0.8001 | 14732 | 0.5293 | |
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| 0.5142 | 1.0002 | 18415 | 0.5177 | |
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| 0.4674 | 1.2002 | 22098 | 0.5015 | |
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| 0.4615 | 1.4002 | 25781 | 0.5000 | |
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| 0.453 | 1.6003 | 29464 | 0.4770 | |
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| 0.4506 | 1.8003 | 33147 | 0.4701 | |
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| 0.4309 | 2.0003 | 36830 | 0.4646 | |
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| 0.3829 | 2.2004 | 40513 | 0.4667 | |
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| 0.3925 | 2.4004 | 44196 | 0.4595 | |
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| 0.3858 | 2.6004 | 47879 | 0.4566 | |
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| 0.3879 | 2.8005 | 51562 | 0.4439 | |
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| 0.3764 | 3.0005 | 55245 | 0.4379 | |
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| 0.3267 | 3.2005 | 58928 | 0.4502 | |
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| 0.3346 | 3.4006 | 62611 | 0.4443 | |
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| 0.3363 | 3.6006 | 66294 | 0.4339 | |
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| 0.3321 | 3.8006 | 69977 | 0.4350 | |
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| 0.3423 | 4.0007 | 73660 | 0.4288 | |
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| 0.2789 | 4.2007 | 77343 | 0.4458 | |
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| 0.2928 | 4.4007 | 81026 | 0.4379 | |
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| 0.2963 | 4.6007 | 84709 | 0.4325 | |
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| 0.2887 | 4.8008 | 88392 | 0.4275 | |
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| 0.2949 | 5.0008 | 92075 | 0.4292 | |
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| 0.2437 | 5.2008 | 95758 | 0.4366 | |
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| 0.2424 | 5.4009 | 99441 | 0.4358 | |
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| 0.2528 | 5.6009 | 103124 | 0.4331 | |
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| 0.2477 | 5.8009 | 106807 | 0.4329 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.47.0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
