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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-task1-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2 |
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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-task1-v2-template_full-deepseek-coder-1.3b-base-ddp-8lr-v2 |
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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: 0.1529 |
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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: 0.0008 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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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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- 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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| 0.2779 | 0.2 | 3094 | 0.2787 | |
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| 0.2568 | 0.4 | 6188 | 0.2658 | |
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| 0.2493 | 0.6 | 9282 | 0.2520 | |
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| 0.2413 | 0.8 | 12376 | 0.2400 | |
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| 0.2362 | 1.0 | 15470 | 0.2373 | |
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| 0.2298 | 1.2 | 18564 | 0.2296 | |
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| 0.2272 | 1.4 | 21658 | 0.2256 | |
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| 0.2194 | 1.6 | 24752 | 0.2186 | |
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| 0.2189 | 1.8 | 27846 | 0.2178 | |
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| 0.212 | 2.0 | 30940 | 0.2128 | |
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| 0.206 | 2.2 | 34034 | 0.2165 | |
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| 0.2037 | 2.4 | 37128 | 0.2034 | |
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| 0.199 | 2.6 | 40222 | 0.2056 | |
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| 0.1963 | 2.8 | 43316 | 0.2008 | |
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| 0.1942 | 3.0 | 46410 | 0.1971 | |
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| 0.1858 | 3.2 | 49504 | 0.1919 | |
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| 0.1851 | 3.4 | 52598 | 0.1906 | |
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| 0.1791 | 3.6 | 55692 | 0.1837 | |
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| 0.1776 | 3.8 | 58786 | 0.1813 | |
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| 0.1758 | 4.0 | 61880 | 0.1761 | |
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| 0.166 | 4.2 | 64974 | 0.1732 | |
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| 0.1633 | 4.4 | 68068 | 0.1701 | |
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| 0.1593 | 4.6 | 71162 | 0.1687 | |
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| 0.1541 | 4.8 | 74256 | 0.1683 | |
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| 0.1525 | 5.0 | 77350 | 0.1623 | |
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| 0.1445 | 5.2 | 80444 | 0.1623 | |
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| 0.143 | 5.4 | 83538 | 0.1601 | |
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| 0.1409 | 5.6 | 86632 | 0.1567 | |
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| 0.1386 | 5.8 | 89726 | 0.1537 | |
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| 0.1358 | 6.0 | 92820 | 0.1529 | |
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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 |
