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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-hol-thms-by-file-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-hol-thms-by-file-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: 0.2839 |
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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: 16 |
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- eval_batch_size: 16 |
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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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| 0.4174 | 0.2000 | 3777 | 0.4078 | |
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| 0.34 | 0.4000 | 7554 | 0.3589 | |
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| 0.3104 | 0.6001 | 11331 | 0.3305 | |
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| 0.2901 | 0.8001 | 15108 | 0.3113 | |
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| 0.2823 | 1.0001 | 18885 | 0.2998 | |
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| 0.2591 | 1.2001 | 22662 | 0.2958 | |
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| 0.2597 | 1.4001 | 26439 | 0.2871 | |
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| 0.2536 | 1.6002 | 30216 | 0.2895 | |
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| 0.2353 | 1.8002 | 33993 | 0.2819 | |
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| 0.2236 | 2.0002 | 37770 | 0.2784 | |
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| 0.2055 | 2.2002 | 41547 | 0.2898 | |
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| 0.2129 | 2.4003 | 45324 | 0.2687 | |
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| 0.2001 | 2.6003 | 49101 | 0.2719 | |
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| 0.2108 | 2.8003 | 52878 | 0.2714 | |
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| 0.2023 | 3.0003 | 56655 | 0.2650 | |
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| 0.1811 | 3.2003 | 60432 | 0.2709 | |
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| 0.1702 | 3.4004 | 64209 | 0.2655 | |
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| 0.176 | 3.6004 | 67986 | 0.2665 | |
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| 0.1702 | 3.8004 | 71763 | 0.2666 | |
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| 0.1597 | 4.0004 | 75540 | 0.2620 | |
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| 0.1388 | 4.2004 | 79317 | 0.2704 | |
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| 0.1452 | 4.4005 | 83094 | 0.2707 | |
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| 0.146 | 4.6005 | 86871 | 0.2705 | |
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| 0.1388 | 4.8005 | 90648 | 0.2622 | |
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| 0.1435 | 5.0005 | 94425 | 0.2649 | |
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| 0.1295 | 5.2006 | 98202 | 0.2794 | |
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| 0.1195 | 5.4006 | 101979 | 0.2780 | |
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| 0.124 | 5.6006 | 105756 | 0.2796 | |
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| 0.1183 | 5.8006 | 109533 | 0.2839 | |
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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 |
