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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: 0.1947 |
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- Rewards/chosen: 1.6152 |
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- Rewards/rejected: -0.7739 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 2.3891 |
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- Logps/rejected: -44.7556 |
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- Logps/chosen: -277.0341 |
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- Logits/rejected: -1.2926 |
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- Logits/chosen: -2.0369 |
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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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| 0.6696 | 0.01 | 10 | 0.5880 | 0.1428 | -0.0848 | 0.75 | 0.2276 | -37.8643 | -291.7574 | -1.2055 | -2.0304 | |
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| 0.5209 | 0.02 | 20 | 0.3704 | 0.7380 | -0.2765 | 1.0 | 1.0145 | -39.7818 | -285.8060 | -1.2770 | -2.0614 | |
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| 0.3319 | 0.03 | 30 | 0.2640 | 1.1988 | -0.4424 | 1.0 | 1.6412 | -41.4403 | -281.1980 | -1.3008 | -2.0673 | |
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| 0.216 | 0.04 | 40 | 0.2150 | 1.4326 | -0.6569 | 1.0 | 2.0896 | -43.5858 | -278.8598 | -1.2972 | -2.0492 | |
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| 0.1711 | 0.06 | 50 | 0.1947 | 1.6152 | -0.7739 | 1.0 | 2.3891 | -44.7556 | -277.0341 | -1.2926 | -2.0369 | |
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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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