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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_small_old_defs-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_small_old_defs-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: 0.1555 |
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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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| 0.4029 | 0.2002 | 721 | 0.2970 | |
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| 0.2985 | 0.4003 | 1442 | 0.2698 | |
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| 0.263 | 0.6005 | 2163 | 0.2522 | |
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| 0.2565 | 0.8007 | 2884 | 0.2486 | |
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| 0.246 | 1.0008 | 3605 | 0.2322 | |
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| 0.2322 | 1.2010 | 4326 | 0.2360 | |
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| 0.2318 | 1.4012 | 5047 | 0.2286 | |
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| 0.223 | 1.6013 | 5768 | 0.2263 | |
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| 0.2213 | 1.8015 | 6489 | 0.2191 | |
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| 0.2189 | 2.0017 | 7210 | 0.2177 | |
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| 0.2096 | 2.2018 | 7931 | 0.2160 | |
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| 0.2084 | 2.4020 | 8652 | 0.2158 | |
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| 0.2045 | 2.6022 | 9373 | 0.2075 | |
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| 0.2026 | 2.8023 | 10094 | 0.2082 | |
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| 0.2012 | 3.0025 | 10815 | 0.2029 | |
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| 0.19 | 3.2027 | 11536 | 0.2002 | |
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| 0.1896 | 3.4028 | 12257 | 0.2012 | |
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| 0.1879 | 3.6030 | 12978 | 0.1948 | |
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| 0.1868 | 3.8032 | 13699 | 0.1899 | |
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| 0.1857 | 4.0033 | 14420 | 0.1936 | |
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| 0.175 | 4.2035 | 15141 | 0.1864 | |
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| 0.174 | 4.4037 | 15862 | 0.1912 | |
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| 0.1741 | 4.6038 | 16583 | 0.1900 | |
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| 0.175 | 4.8040 | 17304 | 0.1854 | |
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| 0.1738 | 5.0042 | 18025 | 0.1858 | |
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| 0.161 | 5.2043 | 18746 | 0.1868 | |
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| 0.1614 | 5.4045 | 19467 | 0.1789 | |
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| 0.1609 | 5.6047 | 20188 | 0.1815 | |
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| 0.1617 | 5.8048 | 20909 | 0.1748 | |
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| 0.16 | 6.0050 | 21630 | 0.1753 | |
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| 0.1508 | 6.2052 | 22351 | 0.1744 | |
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| 0.1486 | 6.4053 | 23072 | 0.1707 | |
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| 0.1488 | 6.6055 | 23793 | 0.1719 | |
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| 0.1488 | 6.8057 | 24514 | 0.1674 | |
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| 0.1473 | 7.0058 | 25235 | 0.1655 | |
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| 0.14 | 7.2060 | 25956 | 0.1636 | |
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| 0.1371 | 7.4062 | 26677 | 0.1638 | |
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| 0.137 | 7.6063 | 27398 | 0.1641 | |
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| 0.1352 | 7.8065 | 28119 | 0.1606 | |
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| 0.1356 | 8.0067 | 28840 | 0.1570 | |
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| 0.1223 | 8.2068 | 29561 | 0.1599 | |
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| 0.1243 | 8.4070 | 30282 | 0.1601 | |
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| 0.1239 | 8.6072 | 31003 | 0.1563 | |
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| 0.1242 | 8.8073 | 31724 | 0.1527 | |
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| 0.1226 | 9.0075 | 32445 | 0.1568 | |
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| 0.1101 | 9.2077 | 33166 | 0.1569 | |
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| 0.1099 | 9.4078 | 33887 | 0.1526 | |
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| 0.1105 | 9.6080 | 34608 | 0.1526 | |
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| 0.1106 | 9.8082 | 35329 | 0.1538 | |
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| 0.1106 | 10.0083 | 36050 | 0.1551 | |
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| 0.098 | 10.2085 | 36771 | 0.1594 | |
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| 0.0969 | 10.4087 | 37492 | 0.1530 | |
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| 0.0976 | 10.6088 | 38213 | 0.1547 | |
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| 0.0977 | 10.8090 | 38934 | 0.1526 | |
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| 0.0969 | 11.0092 | 39655 | 0.1564 | |
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| 0.0893 | 11.2093 | 40376 | 0.1561 | |
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| 0.087 | 11.4095 | 41097 | 0.1561 | |
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| 0.0883 | 11.6097 | 41818 | 0.1558 | |
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| 0.0877 | 11.8098 | 42539 | 0.1555 | |
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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 |
