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--- |
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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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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- generator |
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model-index: |
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- name: d1 |
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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/stojchets/huggingface/runs/d1) |
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# 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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1395 |
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- Rewards/chosen: -0.1261 |
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- Rewards/rejected: -19.6585 |
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- Rewards/accuracies: 0.9737 |
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- Rewards/margins: 19.5324 |
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- Logps/rejected: -369.5529 |
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- Logps/chosen: -169.7162 |
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- Logits/rejected: -9.2987 |
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- Logits/chosen: -8.0855 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 64 |
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- total_train_batch_size: 128 |
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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_steps: 200 |
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- num_epochs: 4 |
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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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.0841 | 1.7149 | 100 | 0.0542 | 0.8716 | -12.2566 | 0.9737 | 13.1282 | -295.5336 | -159.7391 | -16.8791 | -17.5293 | |
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| 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 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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