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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_nodefs-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_nodefs-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: 0.1453 |
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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: 12 |
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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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| 0.2767 | 0.2 | 3094 | 0.2776 | |
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| 0.2557 | 0.4 | 6188 | 0.2610 | |
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| 0.2507 | 0.6 | 9282 | 0.2532 | |
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| 0.2434 | 0.8 | 12376 | 0.2445 | |
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| 0.2395 | 1.0 | 15470 | 0.2353 | |
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| 0.2339 | 1.2 | 18564 | 0.2381 | |
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| 0.2332 | 1.4 | 21658 | 0.2260 | |
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| 0.2275 | 1.6 | 24752 | 0.2299 | |
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| 0.2298 | 1.8 | 27846 | 0.2205 | |
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| 0.2233 | 2.0 | 30940 | 0.2328 | |
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| 0.221 | 2.2 | 34034 | 0.2231 | |
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| 0.2201 | 2.4 | 37128 | 0.2136 | |
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| 0.2154 | 2.6 | 40222 | 0.2186 | |
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| 0.2152 | 2.8 | 43316 | 0.2148 | |
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| 0.2153 | 3.0 | 46410 | 0.2166 | |
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| 0.21 | 3.2 | 49504 | 0.2103 | |
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| 0.2094 | 3.4 | 52598 | 0.2103 | |
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| 0.2054 | 3.6 | 55692 | 0.2095 | |
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| 0.2046 | 3.8 | 58786 | 0.2053 | |
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| 0.2056 | 4.0 | 61880 | 0.2002 | |
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| 0.1989 | 4.2 | 64974 | 0.2069 | |
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| 0.1968 | 4.4 | 68068 | 0.1943 | |
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| 0.1948 | 4.6 | 71162 | 0.2035 | |
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| 0.1905 | 4.8 | 74256 | 0.1966 | |
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| 0.1909 | 5.0 | 77350 | 0.1933 | |
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| 0.1879 | 5.2 | 80444 | 0.1892 | |
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| 0.1877 | 5.4 | 83538 | 0.1933 | |
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| 0.186 | 5.6 | 86632 | 0.1895 | |
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| 0.1844 | 5.8 | 89726 | 0.1868 | |
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| 0.1815 | 6.0 | 92820 | 0.1869 | |
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| 0.1764 | 6.2 | 95914 | 0.1845 | |
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| 0.1764 | 6.4 | 99008 | 0.1874 | |
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| 0.1754 | 6.6 | 102102 | 0.1894 | |
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| 0.176 | 6.8 | 105196 | 0.1816 | |
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| 0.1724 | 7.0 | 108290 | 0.1799 | |
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| 0.1656 | 7.2 | 111384 | 0.1761 | |
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| 0.1637 | 7.4 | 114478 | 0.1751 | |
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| 0.1672 | 7.6 | 117572 | 0.1767 | |
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| 0.164 | 7.8 | 120666 | 0.1714 | |
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| 0.1637 | 8.0 | 123760 | 0.1714 | |
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| 0.1553 | 8.2 | 126854 | 0.1694 | |
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| 0.1538 | 8.4 | 129948 | 0.1700 | |
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| 0.1533 | 8.6 | 133042 | 0.1686 | |
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| 0.1561 | 8.8 | 136136 | 0.1641 | |
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| 0.1544 | 9.0 | 139230 | 0.1627 | |
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| 0.1457 | 9.2 | 142324 | 0.1582 | |
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| 0.1458 | 9.4 | 145418 | 0.1593 | |
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| 0.1447 | 9.6 | 148512 | 0.1590 | |
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| 0.1446 | 9.8 | 151606 | 0.1565 | |
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| 0.1405 | 10.0 | 154700 | 0.1557 | |
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| 0.1357 | 10.2 | 157794 | 0.1539 | |
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| 0.1338 | 10.4 | 160888 | 0.1528 | |
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| 0.1333 | 10.6 | 163982 | 0.1518 | |
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| 0.1319 | 10.8 | 167076 | 0.1509 | |
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| 0.1324 | 11.0 | 170170 | 0.1479 | |
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| 0.1264 | 11.2 | 173264 | 0.1487 | |
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| 0.1227 | 11.4 | 176358 | 0.1483 | |
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| 0.1234 | 11.6 | 179452 | 0.1458 | |
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| 0.1223 | 11.8 | 182546 | 0.1461 | |
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| 0.1226 | 12.0 | 185640 | 0.1453 | |
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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 |
