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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: 0.6780 |
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- Rewards/chosen: 0.0314 |
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- Rewards/rejected: -0.0026 |
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- Rewards/accuracies: 0.6875 |
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- Rewards/margins: 0.0340 |
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- Logps/rejected: -157.6995 |
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- Logps/chosen: -203.0707 |
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- Logits/rejected: -2.3164 |
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- Logits/chosen: -2.4209 |
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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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| 0.6932 | 0.01 | 10 | 0.6910 | -0.0090 | -0.0070 | 0.25 | -0.0020 | -157.7437 | -203.4745 | -2.3168 | -2.4207 | |
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| 0.6905 | 0.01 | 20 | 0.6893 | -0.0028 | -0.0049 | 0.1875 | 0.0022 | -157.7232 | -203.4128 | -2.3159 | -2.4207 | |
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| 0.6802 | 0.01 | 30 | 0.6868 | 0.0121 | -0.0011 | 0.6875 | 0.0132 | -157.6847 | -203.2636 | -2.3163 | -2.4206 | |
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| 0.6872 | 0.02 | 40 | 0.6790 | 0.0245 | -0.0033 | 0.6875 | 0.0278 | -157.7068 | -203.1401 | -2.3163 | -2.4207 | |
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| 0.7024 | 0.03 | 50 | 0.6780 | 0.0314 | -0.0026 | 0.6875 | 0.0340 | -157.6995 | -203.0707 | -2.3164 | -2.4209 | |
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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 |
