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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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- generated_from_trainer |
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model-index: |
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- name: openhermes-mistral-gptq-dpo |
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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-gptq-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: 0.8689 |
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- Rewards/chosen: -1.0765 |
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- Rewards/rejected: -0.9664 |
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- Rewards/accuracies: 0.4800 |
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- Rewards/margins: -0.1101 |
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- Logps/rejected: -139.8855 |
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- Logps/chosen: -135.5758 |
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- Logits/rejected: -2.2110 |
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- Logits/chosen: -2.2313 |
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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: 0.0003 |
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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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### 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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| 0.6842 | 0.01 | 10 | 0.7768 | -0.4985 | -0.4411 | 0.5750 | -0.0574 | -134.6327 | -129.7961 | -2.2478 | -2.2667 | |
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| 0.8539 | 0.02 | 20 | 2.0287 | -9.4492 | -8.7234 | 0.4800 | -0.7258 | -217.4559 | -219.3030 | -1.5781 | -1.5859 | |
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| 0.9433 | 0.03 | 30 | 1.6915 | -7.3191 | -6.8845 | 0.5 | -0.4346 | -199.0667 | -198.0014 | -1.6865 | -1.6973 | |
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| 0.6295 | 0.04 | 40 | 0.9729 | -1.6986 | -1.5214 | 0.5200 | -0.1772 | -145.4362 | -141.7968 | -2.1859 | -2.2057 | |
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| 0.8681 | 0.05 | 50 | 0.8689 | -1.0765 | -0.9664 | 0.4800 | -0.1101 | -139.8855 | -135.5758 | -2.2110 | -2.2313 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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