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---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: openhermes-mistral-dpo-gptq
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# openhermes-mistral-dpo-gptq
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.
It achieves the following results on the evaluation set:
- Loss: 0.6183
- Rewards/chosen: 0.0311
- Rewards/rejected: -0.0695
- Rewards/accuracies: 0.625
- Rewards/margins: 0.1006
- Logps/rejected: -143.5769
- Logps/chosen: -125.5347
- Logits/rejected: -2.7201
- Logits/chosen: -2.8454
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6852 | 0.01 | 10 | 0.6765 | 0.0305 | 0.0058 | 0.5625 | 0.0247 | -142.8238 | -125.5402 | -2.7089 | -2.8446 |
| 0.7058 | 0.01 | 20 | 0.6604 | 0.0370 | -0.0005 | 0.5625 | 0.0375 | -142.8867 | -125.4757 | -2.7121 | -2.8454 |
| 0.6407 | 0.01 | 30 | 0.6319 | 0.0537 | -0.0265 | 0.6875 | 0.0802 | -143.1462 | -125.3082 | -2.7146 | -2.8457 |
| 0.6445 | 0.02 | 40 | 0.6210 | 0.0345 | -0.0659 | 0.625 | 0.1004 | -143.5407 | -125.5005 | -2.7173 | -2.8463 |
| 0.6847 | 0.03 | 50 | 0.6183 | 0.0311 | -0.0695 | 0.625 | 0.1006 | -143.5769 | -125.5347 | -2.7201 | -2.8454 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
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