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---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
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: 0.7067
- Rewards/chosen: 0.0088
- Rewards/rejected: -0.0947
- Rewards/accuracies: 0.625
- Rewards/margins: 0.1035
- Logps/rejected: -172.7847
- Logps/chosen: -98.3108
- Logits/rejected: -2.0623
- Logits/chosen: -1.9279
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6744 | 0.005 | 10 | 0.6970 | -0.0186 | -0.0266 | 0.6875 | 0.0080 | -172.1035 | -98.5849 | -2.0765 | -1.9425 |
| 0.7073 | 0.01 | 20 | 0.7152 | -0.0388 | -0.0448 | 0.4375 | 0.0060 | -172.2850 | -98.7869 | -2.0706 | -1.9392 |
| 0.7287 | 0.015 | 30 | 0.7197 | 0.0026 | -0.0203 | 0.625 | 0.0230 | -172.0406 | -98.3726 | -2.0688 | -1.9317 |
| 0.701 | 0.02 | 40 | 0.7120 | 0.0131 | -0.0600 | 0.625 | 0.0731 | -172.4374 | -98.2679 | -2.0641 | -1.9302 |
| 0.6726 | 0.025 | 50 | 0.7067 | 0.0088 | -0.0947 | 0.625 | 0.1035 | -172.7847 | -98.3108 | -2.0623 | -1.9279 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1 |