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--- |
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license: mit |
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base_model: openai-community/gpt2 |
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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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model-index: |
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- name: mistral_test |
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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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# mistral_test |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Rewards/chosen: nan |
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- Rewards/rejected: nan |
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- Rewards/accuracies: 0.0 |
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- Rewards/margins: nan |
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- Logps/rejected: nan |
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- Logps/chosen: nan |
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- Logits/rejected: nan |
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- Logits/chosen: nan |
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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: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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: 2 |
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- training_steps: 50 |
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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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| 0.0 | 0.0 | 10 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | |
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| 0.0 | 0.0 | 20 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | |
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| 0.0 | 0.0 | 30 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | |
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| 0.0 | 0.0 | 40 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | |
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| 0.0 | 0.0 | 50 | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.1 |
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