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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: 0.1934 |
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- Rewards/chosen: 1.5646 |
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- Rewards/rejected: -0.8402 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 2.4048 |
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- Logps/rejected: -45.4271 |
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- Logps/chosen: -277.5632 |
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- Logits/rejected: -1.3185 |
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- Logits/chosen: -2.0273 |
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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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| 0.6717 | 0.01 | 10 | 0.5892 | 0.1318 | -0.0930 | 0.75 | 0.2248 | -37.9552 | -291.8918 | -1.2049 | -2.0262 | |
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| 0.5298 | 0.02 | 20 | 0.3756 | 0.6965 | -0.3112 | 1.0 | 1.0078 | -40.1375 | -286.2441 | -1.2959 | -2.0576 | |
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| 0.3325 | 0.03 | 30 | 0.2663 | 1.1580 | -0.4907 | 1.0 | 1.6486 | -41.9316 | -281.6295 | -1.3242 | -2.0582 | |
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| 0.2179 | 0.04 | 40 | 0.2153 | 1.4040 | -0.7133 | 1.0 | 2.1173 | -44.1586 | -279.1697 | -1.3211 | -2.0374 | |
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| 0.1683 | 0.06 | 50 | 0.1934 | 1.5646 | -0.8402 | 1.0 | 2.4048 | -45.4271 | -277.5632 | -1.3185 | -2.0273 | |
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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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