| --- |
| license: other |
| base_model: deepseek-ai/deepseek-coder-1.3b-base |
| tags: |
| - trl |
| - dpo |
| - generated_from_trainer |
| datasets: |
| - generator |
| model-index: |
| - name: d1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| 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/stojchets/huggingface/runs/d1) |
| # d1 |
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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 the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1395 |
| - Rewards/chosen: -0.1261 |
| - Rewards/rejected: -19.6585 |
| - Rewards/accuracies: 0.9737 |
| - Rewards/margins: 19.5324 |
| - Logps/rejected: -369.5529 |
| - Logps/chosen: -169.7162 |
| - Logits/rejected: -9.2987 |
| - Logits/chosen: -8.0855 |
|
|
| ## 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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 64 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
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|
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | 0.0841 | 1.7149 | 100 | 0.0542 | 0.8716 | -12.2566 | 0.9737 | 13.1282 | -295.5336 | -159.7391 | -16.8791 | -17.5293 | |
| | 0.0013 | 3.4298 | 200 | 0.1395 | -0.1261 | -19.6585 | 0.9737 | 19.5324 | -369.5529 | -169.7162 | -9.2987 | -8.0855 | |
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| ### Framework versions |
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|
| - Transformers 4.43.0.dev0 |
| - Pytorch 2.2.2+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
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