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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: 0.7494 |
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- Rewards/chosen: -1.3887 |
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- Rewards/rejected: -1.3727 |
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- Rewards/accuracies: 0.25 |
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- Rewards/margins: -0.0160 |
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- Logps/rejected: -254.9227 |
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- Logps/chosen: -296.4655 |
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- Logits/rejected: -3.2845 |
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- Logits/chosen: -3.3612 |
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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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| 0.6671 | 0.01 | 10 | 0.7157 | -0.0276 | -0.0086 | 0.375 | -0.0190 | -241.2815 | -282.8551 | -2.8170 | -2.9092 | |
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| 0.7091 | 0.01 | 20 | 0.7164 | -0.5539 | -0.6101 | 0.5 | 0.0562 | -247.2965 | -288.1179 | -3.0463 | -3.1341 | |
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| 0.6568 | 0.01 | 30 | 0.7347 | -0.7194 | -0.7557 | 0.5 | 0.0363 | -248.7529 | -289.7729 | -3.1075 | -3.1928 | |
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| 0.6534 | 0.02 | 40 | 0.7316 | -1.3152 | -1.3098 | 0.25 | -0.0054 | -254.2937 | -295.7312 | -3.2685 | -3.3467 | |
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| 0.8009 | 0.03 | 50 | 0.7494 | -1.3887 | -1.3727 | 0.25 | -0.0160 | -254.9227 | -296.4655 | -3.2845 | -3.3612 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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