tensorboard safetensors generated_from_trainer base_model:TheBloke/OpenHermes-2-Mistral-7B-GPTQ license:apache-2.0 region:us
---
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
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# 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
