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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-min_symbols_template_small-deepseek-coder-1.3b-base-ddp |
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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-min_symbols_template_small-deepseek-coder-1.3b-base-ddp |
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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: 0.2065 |
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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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- 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: 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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| 0.5153 | 0.2001 | 629 | 0.3804 | |
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| 0.3737 | 0.4001 | 1258 | 0.3328 | |
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| 0.339 | 0.6002 | 1887 | 0.3059 | |
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| 0.3011 | 0.8003 | 2516 | 0.2860 | |
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| 0.2889 | 1.0003 | 3145 | 0.2774 | |
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| 0.2715 | 1.2004 | 3774 | 0.2685 | |
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| 0.2638 | 1.4004 | 4403 | 0.2573 | |
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| 0.2513 | 1.6005 | 5032 | 0.2510 | |
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| 0.2493 | 1.8006 | 5661 | 0.2448 | |
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| 0.2416 | 2.0006 | 6290 | 0.2400 | |
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| 0.2359 | 2.2007 | 6919 | 0.2365 | |
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| 0.2247 | 2.4008 | 7548 | 0.2334 | |
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| 0.2204 | 2.6008 | 8177 | 0.2292 | |
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| 0.2208 | 2.8009 | 8806 | 0.2235 | |
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| 0.2157 | 3.0010 | 9435 | 0.2226 | |
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| 0.1976 | 3.2010 | 10064 | 0.2208 | |
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| 0.1991 | 3.4011 | 10693 | 0.2209 | |
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| 0.1982 | 3.6011 | 11322 | 0.2157 | |
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| 0.1977 | 3.8012 | 11951 | 0.2140 | |
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| 0.1949 | 4.0013 | 12580 | 0.2121 | |
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| 0.1821 | 4.2013 | 13209 | 0.2135 | |
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| 0.1791 | 4.4014 | 13838 | 0.2106 | |
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| 0.1829 | 4.6015 | 14467 | 0.2089 | |
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| 0.177 | 4.8015 | 15096 | 0.2085 | |
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| 0.1789 | 5.0016 | 15725 | 0.2063 | |
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| 0.1704 | 5.2017 | 16354 | 0.2083 | |
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| 0.1667 | 5.4017 | 16983 | 0.2074 | |
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| 0.1641 | 5.6018 | 17612 | 0.2068 | |
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| 0.1642 | 5.8018 | 18241 | 0.2065 | |
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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 |
