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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: teamtrack-ai |
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results: [] |
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pipeline_tag: text-generation |
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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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# teamtrack-ai |
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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: 0.6303 |
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- Rewards/chosen: -0.0503 |
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- Rewards/rejected: -0.1912 |
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- Rewards/accuracies: 0.875 |
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- Rewards/margins: 0.1409 |
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- Logps/rejected: -190.9696 |
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- Logps/chosen: -89.6439 |
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- Logits/rejected: -2.7104 |
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- Logits/chosen: -2.8594 |
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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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| 0.6859 | 0.01 | 10 | 0.6664 | 0.0030 | -0.0376 | 0.6875 | 0.0406 | -189.4330 | -89.1108 | -2.7111 | -2.8122 | |
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| 0.6888 | 0.01 | 20 | 0.6478 | -0.0110 | -0.0944 | 0.875 | 0.0834 | -190.0014 | -89.2510 | -2.7160 | -2.8235 | |
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| 0.6397 | 0.01 | 30 | 0.6385 | -0.0256 | -0.1254 | 0.8125 | 0.0997 | -190.3110 | -89.3974 | -2.7148 | -2.8392 | |
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| 0.6501 | 0.02 | 40 | 0.6365 | -0.0472 | -0.1782 | 0.8125 | 0.1311 | -190.8396 | -89.6128 | -2.7116 | -2.8528 | |
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| 0.6852 | 0.03 | 50 | 0.6303 | -0.0503 | -0.1912 | 0.875 | 0.1409 | -190.9696 | -89.6439 | -2.7104 | -2.8594 | |
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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 |
