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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: ndpo1 |
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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/ndpo1) |
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# ndpo1 |
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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: 0.0465 |
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- Rewards/chosen: 1.3306 |
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- Rewards/rejected: -5.9771 |
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- Rewards/accuracies: 0.9934 |
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- Rewards/margins: 7.3077 |
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- Logps/rejected: -232.7393 |
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- Logps/chosen: -155.1493 |
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- Logits/rejected: -16.8463 |
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- Logits/chosen: -16.6346 |
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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: 1e-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: 2 |
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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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| 0.1691 | 1.7149 | 100 | 0.0465 | 1.3306 | -5.9771 | 0.9934 | 7.3077 | -232.7393 | -155.1493 | -16.8463 | -16.6346 | |
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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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