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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-6.7b-base |
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tags: |
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- base_model:adapter:deepseek-ai/deepseek-coder-6.7b-base |
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- lora |
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- transformers |
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pipeline_tag: text-generation |
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model-index: |
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- name: lemexp-task1-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-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-task1-v3-lemma_object_small_nodefs-deepseek-coder-6.7b-base |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2294 |
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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: 0.0004 |
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- train_batch_size: 4 |
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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: 4 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 8 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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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| 0.4045 | 0.2001 | 720 | 0.3253 | |
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| 0.3156 | 0.4001 | 1440 | 0.2905 | |
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| 0.2636 | 0.6002 | 2160 | 0.2644 | |
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| 0.2455 | 0.8002 | 2880 | 0.2401 | |
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| 0.227 | 1.0003 | 3600 | 0.2328 | |
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| 0.1903 | 1.2003 | 4320 | 0.2267 | |
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| 0.1872 | 1.4004 | 5040 | 0.2187 | |
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| 0.1831 | 1.6004 | 5760 | 0.2105 | |
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| 0.1785 | 1.8005 | 6480 | 0.2082 | |
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| 0.1736 | 2.0006 | 7200 | 0.1973 | |
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| 0.1512 | 2.2006 | 7920 | 0.1999 | |
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| 0.1414 | 2.4007 | 8640 | 0.1973 | |
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| 0.1413 | 2.6007 | 9360 | 0.1891 | |
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| 0.1397 | 2.8008 | 10080 | 0.1857 | |
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| 0.1401 | 3.0008 | 10800 | 0.1840 | |
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| 0.1111 | 3.2009 | 11520 | 0.1837 | |
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| 0.1135 | 3.4009 | 12240 | 0.1819 | |
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| 0.1138 | 3.6010 | 12960 | 0.1821 | |
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| 0.1133 | 3.8011 | 13680 | 0.1799 | |
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| 0.1147 | 4.0011 | 14400 | 0.1769 | |
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| 0.0871 | 4.2012 | 15120 | 0.1822 | |
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| 0.0902 | 4.4012 | 15840 | 0.1860 | |
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| 0.0921 | 4.6013 | 16560 | 0.1809 | |
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| 0.0956 | 4.8013 | 17280 | 0.1696 | |
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| 0.0932 | 5.0014 | 18000 | 0.1711 | |
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| 0.0706 | 5.2014 | 18720 | 0.1792 | |
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| 0.0715 | 5.4015 | 19440 | 0.1803 | |
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| 0.075 | 5.6016 | 20160 | 0.1746 | |
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| 0.0775 | 5.8016 | 20880 | 0.1798 | |
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| 0.0759 | 6.0017 | 21600 | 0.1766 | |
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| 0.0604 | 6.2017 | 22320 | 0.1849 | |
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| 0.0608 | 6.4018 | 23040 | 0.1875 | |
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| 0.0626 | 6.6018 | 23760 | 0.1774 | |
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| 0.0614 | 6.8019 | 24480 | 0.1776 | |
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| 0.0622 | 7.0019 | 25200 | 0.1798 | |
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| 0.0505 | 7.2020 | 25920 | 0.1918 | |
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| 0.0475 | 7.4021 | 26640 | 0.1941 | |
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| 0.0487 | 7.6021 | 27360 | 0.1886 | |
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| 0.0507 | 7.8022 | 28080 | 0.1860 | |
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| 0.0507 | 8.0022 | 28800 | 0.1883 | |
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| 0.0372 | 8.2023 | 29520 | 0.2032 | |
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| 0.0368 | 8.4023 | 30240 | 0.1974 | |
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| 0.0383 | 8.6024 | 30960 | 0.1965 | |
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| 0.0387 | 8.8024 | 31680 | 0.1971 | |
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| 0.0395 | 9.0025 | 32400 | 0.1936 | |
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| 0.0277 | 9.2026 | 33120 | 0.2076 | |
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| 0.0287 | 9.4026 | 33840 | 0.1991 | |
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| 0.0305 | 9.6027 | 34560 | 0.2040 | |
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| 0.0315 | 9.8027 | 35280 | 0.2068 | |
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| 0.0305 | 10.0028 | 36000 | 0.1999 | |
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| 0.0228 | 10.2028 | 36720 | 0.2139 | |
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| 0.0226 | 10.4029 | 37440 | 0.2154 | |
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| 0.0237 | 10.6029 | 38160 | 0.2152 | |
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| 0.0236 | 10.8030 | 38880 | 0.2104 | |
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| 0.0236 | 11.0031 | 39600 | 0.2112 | |
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| 0.0192 | 11.2031 | 40320 | 0.2329 | |
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| 0.0186 | 11.4032 | 41040 | 0.2319 | |
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| 0.0184 | 11.6032 | 41760 | 0.2299 | |
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| 0.0189 | 11.8033 | 42480 | 0.2294 | |
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### Framework versions |
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- PEFT 0.17.1 |
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- Transformers 4.55.4 |
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- Pytorch 2.8.0+cu128 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
