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---
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
library_name: peft
license: apache-2.0
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: 0.9029
- Rewards/chosen: -0.1592
- Rewards/rejected: -0.0751
- Rewards/accuracies: 0.4375
- Rewards/margins: -0.0841
- Logps/rejected: -164.9728
- Logps/chosen: -207.7616
- Logits/rejected: -2.4937
- Logits/chosen: -2.5880
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6777 | 0.005 | 10 | 0.7136 | -0.0128 | -0.0514 | 0.5625 | 0.0386 | -164.7356 | -206.2971 | -2.4991 | -2.5809 |
| 0.6983 | 0.01 | 20 | 0.7209 | -0.0223 | -0.1062 | 0.625 | 0.0838 | -165.2831 | -206.3929 | -2.4962 | -2.5809 |
| 0.697 | 0.015 | 30 | 0.7341 | -0.0064 | -0.0583 | 0.6875 | 0.0519 | -164.8043 | -206.2330 | -2.4984 | -2.5864 |
| 0.6967 | 0.02 | 40 | 0.7473 | -0.0052 | -0.0485 | 0.4375 | 0.0433 | -164.7064 | -206.2214 | -2.4930 | -2.5857 |
| 0.6666 | 0.025 | 50 | 0.9029 | -0.1592 | -0.0751 | 0.4375 | -0.0841 | -164.9728 | -207.7616 | -2.4937 | -2.5880 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1 |