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--- |
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library_name: transformers |
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license: other |
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base_model: deepseek-ai/deepseek-coder-7b-base-v1.5 |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: deepseek_coder_7b_apps_sft |
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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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# deepseek_coder_7b_apps_sft |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-7b-base-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-base-v1.5) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7821 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 128 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 0.7137 | 5.5818 | 100 | 0.7307 | |
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| 0.6296 | 11.1164 | 200 | 0.7471 | |
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| 0.5899 | 16.6982 | 300 | 0.7680 | |
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| 0.5761 | 22.2327 | 400 | 0.7791 | |
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| 0.5599 | 27.8145 | 500 | 0.7821 | |
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### Framework versions |
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- Transformers 4.55.4 |
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- Pytorch 2.8.0+cu126 |
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- Datasets 2.19.1 |
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- Tokenizers 0.21.4 |
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