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---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
tags:
- 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: 0.5172
- Rewards/chosen: 0.2719
- Rewards/rejected: 0.0027
- Rewards/accuracies: 0.4375
- Rewards/margins: 0.2692
- Logps/rejected: -523.3978
- Logps/chosen: -559.6996
- Logits/rejected: -1.8608
- Logits/chosen: -1.7791
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.8935 | 0.01 | 10 | 0.6254 | 0.5705 | 0.2915 | 0.9375 | 0.2790 | -520.5098 | -556.7138 | -1.8760 | -1.8462 |
| 2.7353 | 0.01 | 20 | 1.4708 | 0.6063 | 2.5173 | 0.25 | -1.9110 | -498.2514 | -556.3558 | -1.9855 | -2.0419 |
| 3.4601 | 0.01 | 30 | 0.4799 | 5.3762 | 3.1472 | 0.6875 | 2.2289 | -491.9521 | -508.6570 | -1.9445 | -1.9689 |
| 15.4868 | 0.02 | 40 | 0.4790 | 1.4084 | 0.7478 | 0.6875 | 0.6606 | -515.9464 | -548.3342 | -1.8667 | -1.7981 |
| 0.4857 | 0.03 | 50 | 0.5172 | 0.2719 | 0.0027 | 0.4375 | 0.2692 | -523.3978 | -559.6996 | -1.8608 | -1.7791 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.15.0
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