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--- |
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base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct |
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library_name: peft |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: deepseek_coder_v2 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/stanford_johnny/filtering_finetuning/runs/bxhqbdle) |
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# deepseek_coder_v2 |
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This model is a fine-tuned version of [deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1922 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.4005 | 0.1613 | 5 | 0.3098 | |
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| 0.2848 | 0.3226 | 10 | 0.2342 | |
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| 0.2249 | 0.4839 | 15 | 0.2092 | |
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| 0.2221 | 0.6452 | 20 | 0.2001 | |
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| 0.2141 | 0.8065 | 25 | 0.1949 | |
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| 0.2094 | 0.9677 | 30 | 0.1922 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.42.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
