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---
license: apache-2.0
base_model: teknium/OpenHermes-2.5-Mistral-7B
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 [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5200
- Rewards/chosen: 0.4462
- Rewards/rejected: -0.0495
- Rewards/accuracies: 0.6875
- Rewards/margins: 0.4958
- Logps/rejected: -235.5496
- Logps/chosen: -196.8896
- Logits/rejected: -3.1546
- Logits/chosen: -3.2002
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.701 | 0.01 | 10 | 0.6011 | 0.2373 | 0.0723 | 0.375 | 0.1650 | -234.3308 | -198.9786 | -3.1345 | -3.1669 |
| 0.6827 | 0.01 | 20 | 0.5701 | 0.3490 | -0.0051 | 0.6875 | 0.3541 | -235.1054 | -197.8619 | -3.1513 | -3.1894 |
| 0.7041 | 0.01 | 30 | 0.5571 | 0.3683 | -0.0432 | 0.6875 | 0.4115 | -235.4866 | -197.6691 | -3.1811 | -3.2466 |
| 0.7273 | 0.02 | 40 | 0.5295 | 0.4324 | -0.0346 | 0.6875 | 0.4671 | -235.4007 | -197.0275 | -3.1709 | -3.2343 |
| 0.6139 | 0.03 | 50 | 0.5200 | 0.4462 | -0.0495 | 0.6875 | 0.4958 | -235.5496 | -196.8896 | -3.1546 | -3.2002 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
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