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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-lemma_command_full-deepseek-coder-1.3b-base-ddp-8lr |
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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-lemma_command_full-deepseek-coder-1.3b-base-ddp-8lr |
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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: 0.4320 |
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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: 0.0008 |
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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: 12 |
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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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| 0.7149 | 0.2 | 2121 | 0.6754 | |
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| 0.684 | 0.4 | 4242 | 0.6408 | |
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| 0.6664 | 0.6 | 6363 | 0.6271 | |
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| 0.6568 | 0.8 | 8484 | 0.6106 | |
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| 0.6445 | 1.0 | 10605 | 0.6016 | |
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| 0.6188 | 1.2 | 12726 | 0.5927 | |
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| 0.618 | 1.4 | 14847 | 0.5864 | |
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| 0.6161 | 1.6 | 16968 | 0.5864 | |
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| 0.6239 | 1.8 | 19089 | 0.5779 | |
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| 0.6126 | 2.0 | 21210 | 0.5764 | |
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| 0.5882 | 2.2 | 23331 | 0.5680 | |
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| 0.5955 | 2.4 | 25452 | 0.5647 | |
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| 0.5858 | 2.6 | 27573 | 0.5615 | |
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| 0.5882 | 2.8 | 29694 | 0.5574 | |
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| 0.5819 | 3.0 | 31815 | 0.5504 | |
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| 0.5759 | 3.2 | 33936 | 0.5544 | |
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| 0.5647 | 3.4 | 36057 | 0.5479 | |
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| 0.5687 | 3.6 | 38178 | 0.5458 | |
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| 0.5692 | 3.8 | 40299 | 0.5415 | |
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| 0.5633 | 4.0 | 42420 | 0.5398 | |
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| 0.5489 | 4.2 | 44541 | 0.5299 | |
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| 0.5482 | 4.4 | 46662 | 0.5246 | |
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| 0.5443 | 4.6 | 48783 | 0.5246 | |
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| 0.5466 | 4.8 | 50904 | 0.5225 | |
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| 0.5464 | 5.0 | 53025 | 0.5157 | |
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| 0.5249 | 5.2 | 55146 | 0.5203 | |
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| 0.5323 | 5.4 | 57267 | 0.5115 | |
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| 0.5227 | 5.6 | 59388 | 0.5075 | |
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| 0.5277 | 5.8 | 61509 | 0.5074 | |
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| 0.5214 | 6.0 | 63630 | 0.5040 | |
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| 0.5115 | 6.2 | 65751 | 0.4969 | |
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| 0.5088 | 6.4 | 67872 | 0.4950 | |
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| 0.511 | 6.6 | 69993 | 0.4912 | |
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| 0.5097 | 6.8 | 72114 | 0.4892 | |
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| 0.5024 | 7.0 | 74235 | 0.4877 | |
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| 0.4842 | 7.2 | 76356 | 0.4860 | |
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| 0.484 | 7.4 | 78477 | 0.4832 | |
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| 0.493 | 7.6 | 80598 | 0.4816 | |
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| 0.4863 | 7.8 | 82719 | 0.4759 | |
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| 0.4878 | 8.0 | 84840 | 0.4672 | |
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| 0.4644 | 8.2 | 86961 | 0.4705 | |
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| 0.4648 | 8.4 | 89082 | 0.4654 | |
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| 0.4663 | 8.6 | 91203 | 0.4612 | |
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| 0.4715 | 8.8 | 93324 | 0.4636 | |
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| 0.4669 | 9.0 | 95445 | 0.4591 | |
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| 0.4451 | 9.2 | 97566 | 0.4586 | |
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| 0.4457 | 9.4 | 99687 | 0.4580 | |
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| 0.4538 | 9.6 | 101808 | 0.4495 | |
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| 0.4489 | 9.8 | 103929 | 0.4492 | |
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| 0.4466 | 10.0 | 106050 | 0.4458 | |
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| 0.4252 | 10.2 | 108171 | 0.4470 | |
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| 0.4226 | 10.4 | 110292 | 0.4456 | |
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| 0.4244 | 10.6 | 112413 | 0.4402 | |
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| 0.4226 | 10.8 | 114534 | 0.4374 | |
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| 0.4203 | 11.0 | 116655 | 0.4352 | |
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| 0.4124 | 11.2 | 118776 | 0.4361 | |
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| 0.4039 | 11.4 | 120897 | 0.4340 | |
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| 0.405 | 11.6 | 123018 | 0.4321 | |
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| 0.4083 | 11.8 | 125139 | 0.4314 | |
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| 0.4025 | 12.0 | 127260 | 0.4320 | |
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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 |
