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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: 0.5794 |
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- Rewards/chosen: 0.3240 |
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- Rewards/rejected: -0.1304 |
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- Rewards/accuracies: 0.8125 |
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- Rewards/margins: 0.4544 |
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- Logps/rejected: -257.9009 |
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- Logps/chosen: -299.4479 |
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- Logits/rejected: -2.5816 |
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- Logits/chosen: -2.4558 |
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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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| 0.6803 | 0.005 | 10 | 0.6477 | 0.1422 | -0.0051 | 0.9375 | 0.1472 | -256.6473 | -301.2661 | -2.5813 | -2.4540 | |
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| 0.7051 | 0.01 | 20 | 0.6019 | 0.1764 | -0.1259 | 0.9375 | 0.3023 | -257.8556 | -300.9241 | -2.5817 | -2.4542 | |
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| 0.7343 | 0.015 | 30 | 0.5848 | 0.1973 | -0.1493 | 0.875 | 0.3465 | -258.0895 | -300.7151 | -2.5833 | -2.4551 | |
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| 0.6977 | 0.02 | 40 | 0.5773 | 0.2710 | -0.1295 | 0.8125 | 0.4005 | -257.8920 | -299.9776 | -2.5815 | -2.4542 | |
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| 0.6483 | 0.025 | 50 | 0.5794 | 0.3240 | -0.1304 | 0.8125 | 0.4544 | -257.9009 | -299.4479 | -2.5816 | -2.4558 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
