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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-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: 1.6114 |
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- Rewards/chosen: -2.4430 |
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- Rewards/rejected: -1.9061 |
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- Rewards/accuracies: 0.6875 |
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- Rewards/margins: -0.5369 |
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- Logps/rejected: -480.5268 |
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- Logps/chosen: -519.2752 |
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- Logits/rejected: -2.5308 |
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- Logits/chosen: -2.6586 |
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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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| 0.7579 | 0.01 | 10 | 0.6551 | 0.1429 | 0.0811 | 0.625 | 0.0618 | -460.6556 | -493.4166 | -2.4845 | -2.6464 | |
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| 0.7842 | 0.01 | 20 | 0.6336 | 0.2270 | 0.1016 | 0.875 | 0.1254 | -460.4503 | -492.5753 | -2.5075 | -2.6588 | |
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| 1.224 | 0.01 | 30 | 1.4870 | -2.1416 | -1.6612 | 0.75 | -0.4804 | -478.0778 | -516.2612 | -2.5269 | -2.6581 | |
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| 9.9606 | 0.02 | 40 | 19.8907 | -23.9174 | -11.8255 | 0.5625 | -12.0919 | -579.7216 | -734.0198 | -2.2514 | -2.3830 | |
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| 2.3399 | 0.03 | 50 | 1.6114 | -2.4430 | -1.9061 | 0.6875 | -0.5369 | -480.5268 | -519.2752 | -2.5308 | -2.6586 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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