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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: openhermes-mistral-dpo-gptq |
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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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# openhermes-mistral-dpo-gptq |
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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: 0.6104 |
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- Rewards/chosen: -0.0458 |
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- Rewards/rejected: -0.4535 |
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- Rewards/accuracies: 0.6875 |
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- Rewards/margins: 0.4077 |
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- Logps/rejected: -390.3771 |
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- Logps/chosen: -149.5892 |
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- Logits/rejected: -1.3692 |
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- Logits/chosen: -1.4352 |
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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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| 0.6865 | 0.01 | 10 | 0.6792 | -0.0093 | -0.0078 | 0.6875 | -0.0015 | -385.9200 | -149.2238 | -1.3698 | -1.4189 | |
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| 0.6882 | 0.01 | 20 | 0.6660 | -0.0137 | -0.0526 | 0.625 | 0.0389 | -386.3681 | -149.2680 | -1.3729 | -1.4240 | |
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| 0.6391 | 0.01 | 30 | 0.6446 | 0.0000 | -0.1131 | 0.625 | 0.1131 | -386.9731 | -149.1310 | -1.3737 | -1.4292 | |
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| 0.639 | 0.02 | 40 | 0.6271 | -0.0337 | -0.2758 | 0.6875 | 0.2421 | -388.6000 | -149.4686 | -1.3729 | -1.4342 | |
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| 0.6533 | 0.03 | 50 | 0.6104 | -0.0458 | -0.4535 | 0.6875 | 0.4077 | -390.3771 | -149.5892 | -1.3692 | -1.4352 | |
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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 |
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