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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-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test |
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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-processed-task1_min_symbols_template_small-deepseek-coder-1.3b-base-test |
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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: 0.1481 |
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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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- num_epochs: 3 |
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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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| 0.3008 | 0.2000 | 5030 | 0.2892 | |
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| 0.2627 | 0.4001 | 10060 | 0.2511 | |
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| 0.2327 | 0.6001 | 15090 | 0.2334 | |
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| 0.2229 | 0.8001 | 20120 | 0.2116 | |
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| 0.2074 | 1.0002 | 25150 | 0.2014 | |
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| 0.1832 | 1.2002 | 30180 | 0.1921 | |
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| 0.1709 | 1.4002 | 35210 | 0.1860 | |
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| 0.1692 | 1.6003 | 40240 | 0.1758 | |
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| 0.1559 | 1.8003 | 45270 | 0.1679 | |
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| 0.1624 | 2.0003 | 50300 | 0.1645 | |
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| 0.1233 | 2.2003 | 55330 | 0.1600 | |
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| 0.1206 | 2.4004 | 60360 | 0.1539 | |
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| 0.1296 | 2.6004 | 65390 | 0.1516 | |
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| 0.1277 | 2.8004 | 70420 | 0.1481 | |
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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 |
