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--- |
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license: apache-2.0 |
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library_name: peft |
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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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base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ |
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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: 0.0132 |
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- Rewards/chosen: -1.4792 |
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- Rewards/rejected: -8.5855 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 7.1064 |
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- Logps/rejected: -319.5252 |
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- Logps/chosen: -138.4254 |
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- Logits/rejected: -2.3872 |
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- Logits/chosen: -2.5369 |
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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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| 0.5575 | 0.0 | 10 | 0.4017 | 0.0150 | -0.6143 | 1.0 | 0.6293 | -239.8125 | -123.4837 | -2.4102 | -2.6084 | |
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| 0.3781 | 0.0 | 20 | 0.1298 | -0.2390 | -2.2414 | 1.0 | 2.0025 | -256.0842 | -126.0231 | -2.3786 | -2.6120 | |
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| 0.219 | 0.0 | 30 | 0.0410 | -0.5640 | -4.3638 | 1.0 | 3.7998 | -277.3080 | -129.2739 | -2.3879 | -2.5872 | |
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| 0.038 | 0.0 | 40 | 0.0168 | -1.2083 | -7.3369 | 1.0 | 6.1286 | -307.0389 | -135.7168 | -2.3962 | -2.5566 | |
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| 0.0669 | 0.0 | 50 | 0.0132 | -1.4792 | -8.5855 | 1.0 | 7.1064 | -319.5252 | -138.4254 | -2.3872 | -2.5369 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.38.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
