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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_lemma_object_small-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-processed-task1_min_symbols_lemma_object_small-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: 0.2167 |
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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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| 0.4548 | 0.2000 | 5030 | 0.4143 | |
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| 0.3861 | 0.4001 | 10060 | 0.3652 | |
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| 0.3504 | 0.6001 | 15090 | 0.3359 | |
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| 0.3352 | 0.8001 | 20120 | 0.3129 | |
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| 0.3186 | 1.0002 | 25150 | 0.3011 | |
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| 0.2763 | 1.2002 | 30180 | 0.2905 | |
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| 0.2711 | 1.4002 | 35210 | 0.2776 | |
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| 0.2579 | 1.6003 | 40240 | 0.2743 | |
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| 0.2484 | 1.8003 | 45270 | 0.2600 | |
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| 0.263 | 2.0003 | 50300 | 0.2602 | |
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| 0.2108 | 2.2003 | 55330 | 0.2580 | |
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| 0.2026 | 2.4004 | 60360 | 0.2526 | |
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| 0.2228 | 2.6004 | 65390 | 0.2473 | |
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| 0.2187 | 2.8004 | 70420 | 0.2387 | |
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| 0.2053 | 3.0005 | 75450 | 0.2345 | |
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| 0.1761 | 3.2005 | 80480 | 0.2379 | |
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| 0.1773 | 3.4005 | 85510 | 0.2323 | |
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| 0.1689 | 3.6006 | 90540 | 0.2265 | |
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| 0.1707 | 3.8006 | 95570 | 0.2256 | |
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| 0.1764 | 4.0006 | 100600 | 0.2197 | |
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| 0.1377 | 4.2007 | 105630 | 0.2262 | |
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| 0.1485 | 4.4007 | 110660 | 0.2230 | |
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| 0.1464 | 4.6007 | 115690 | 0.2161 | |
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| 0.1521 | 4.8008 | 120720 | 0.2178 | |
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| 0.1457 | 5.0008 | 125750 | 0.2144 | |
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| 0.1146 | 5.2008 | 130780 | 0.2221 | |
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| 0.1187 | 5.4009 | 135810 | 0.2204 | |
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| 0.1041 | 5.6009 | 140840 | 0.2201 | |
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| 0.1171 | 5.8009 | 145870 | 0.2167 | |
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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 |
