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--- |
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license: apache-2.0 |
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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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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-dpo |
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results: [] |
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pipeline_tag: conversational |
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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-dpo |
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This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co./TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0559 |
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- Rewards/chosen: -0.6622 |
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- Rewards/rejected: -5.8356 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 5.1735 |
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- Logps/rejected: -138.0126 |
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- Logps/chosen: -105.3292 |
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- Logits/rejected: -2.5356 |
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- Logits/chosen: -2.7185 |
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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: 1 |
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- eval_batch_size: 8 |
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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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| 0.6666 | 0.01 | 10 | 0.5490 | 0.3763 | 0.0083 | 1.0 | 0.3680 | -79.5733 | -94.9446 | -2.6386 | -2.7333 | |
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| 0.439 | 0.01 | 20 | 0.2792 | 1.0686 | -0.2159 | 1.0 | 1.2845 | -81.8148 | -88.0209 | -2.6245 | -2.7868 | |
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| 0.1683 | 0.02 | 30 | 0.1116 | 1.0530 | -2.2150 | 1.0 | 3.2680 | -101.8059 | -88.1772 | -2.6157 | -2.7924 | |
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| 0.54 | 0.03 | 40 | 0.0719 | -0.1064 | -4.6952 | 1.0 | 4.5888 | -126.6084 | -99.7713 | -2.5649 | -2.7384 | |
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| 0.0965 | 0.03 | 50 | 0.0559 | -0.6622 | -5.8356 | 1.0 | 5.1735 | -138.0126 | -105.3292 | -2.5356 | -2.7185 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
