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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: 0.6643 |
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- Rewards/chosen: 0.0014 |
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- Rewards/rejected: -0.0701 |
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- Rewards/accuracies: 0.8125 |
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- Rewards/margins: 0.0714 |
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- Logps/rejected: -216.5143 |
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- Logps/chosen: -215.7596 |
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- Logits/rejected: -2.5311 |
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- Logits/chosen: -2.5242 |
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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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| 0.6845 | 0.01 | 10 | 0.6884 | 0.0077 | -0.0181 | 0.6875 | 0.0258 | -215.9950 | -215.6967 | -2.5278 | -2.5201 | |
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| 0.7249 | 0.01 | 20 | 0.6905 | -0.0073 | -0.0256 | 0.75 | 0.0183 | -216.0695 | -215.8464 | -2.5330 | -2.5253 | |
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| 0.6441 | 0.01 | 30 | 0.6808 | 0.0070 | -0.0255 | 0.75 | 0.0325 | -216.0689 | -215.7035 | -2.5350 | -2.5269 | |
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| 0.6393 | 0.02 | 40 | 0.6657 | -0.0032 | -0.0731 | 0.875 | 0.0699 | -216.5449 | -215.8051 | -2.5327 | -2.5248 | |
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| 0.6818 | 0.03 | 50 | 0.6643 | 0.0014 | -0.0701 | 0.8125 | 0.0714 | -216.5143 | -215.7596 | -2.5311 | -2.5242 | |
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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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