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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-afp-small-thms-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-afp-small-thms-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: 0.1166 |
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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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| 0.4601 | 0.2001 | 2492 | 0.3758 | |
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| 0.369 | 0.4001 | 4984 | 0.3327 | |
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| 0.327 | 0.6002 | 7476 | 0.2894 | |
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| 0.2988 | 0.8003 | 9968 | 0.2848 | |
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| 0.2873 | 1.0003 | 12460 | 0.2698 | |
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| 0.2487 | 1.2004 | 14952 | 0.2669 | |
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| 0.2371 | 1.4004 | 17444 | 0.2430 | |
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| 0.2324 | 1.6005 | 19936 | 0.2373 | |
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| 0.2278 | 1.8006 | 22428 | 0.2372 | |
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| 0.2212 | 2.0006 | 24920 | 0.2190 | |
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| 0.1991 | 2.2007 | 27412 | 0.2131 | |
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| 0.1854 | 2.4008 | 29904 | 0.2092 | |
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| 0.1769 | 2.6008 | 32396 | 0.2034 | |
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| 0.1818 | 2.8009 | 34888 | 0.1904 | |
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| 0.1798 | 3.0010 | 37380 | 0.1980 | |
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| 0.1656 | 3.2010 | 39872 | 0.1820 | |
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| 0.1533 | 3.4011 | 42364 | 0.1724 | |
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| 0.1557 | 3.6012 | 44856 | 0.1687 | |
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| 0.1536 | 3.8012 | 47348 | 0.1721 | |
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| 0.1531 | 4.0013 | 49840 | 0.1634 | |
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| 0.1256 | 4.2013 | 52332 | 0.1529 | |
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| 0.1274 | 4.4014 | 54824 | 0.1471 | |
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| 0.1294 | 4.6015 | 57316 | 0.1433 | |
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| 0.1209 | 4.8015 | 59808 | 0.1375 | |
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| 0.1298 | 5.0016 | 62300 | 0.1308 | |
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| 0.1064 | 5.2017 | 64792 | 0.1269 | |
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| 0.1063 | 5.4017 | 67284 | 0.1262 | |
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| 0.1036 | 5.6018 | 69776 | 0.1213 | |
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| 0.1084 | 5.8019 | 72268 | 0.1166 | |
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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 |
