transformers tensorboard safetensors mistral text-generation trl dpo generated_from_trainer base_model:TheBloke/OpenHermes-2-Mistral-7B-GPTQ license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
pipeline_tag: text-generation
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
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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: 0.5952
- Rewards/chosen: 0.1959
- Rewards/rejected: -0.1959
- Rewards/accuracies: 0.8125
- Rewards/margins: 0.3918
- Logps/rejected: -225.0688
- Logps/chosen: -260.4842
- Logits/rejected: -2.6980
- Logits/chosen: -2.6353

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6829        | 0.01  | 10   | 0.6352          | 0.0696         | -0.0459          | 0.5625             | 0.1156          | -223.5694      | -261.7468    | -2.6848         | -2.6255       |
| 0.7018        | 0.01  | 20   | 0.6071          | 0.1534         | -0.1323          | 0.5625             | 0.2857          | -224.4329      | -260.9089    | -2.6932         | -2.6321       |
| 0.6391        | 0.01  | 30   | 0.5922          | 0.2186         | -0.1600          | 0.8125             | 0.3787          | -224.7106      | -260.2570    | -2.6988         | -2.6359       |
| 0.5993        | 0.02  | 40   | 0.5937          | 0.1966         | -0.1896          | 0.8125             | 0.3861          | -225.0059      | -260.4774    | -2.6987         | -2.6355       |
| 0.6781        | 0.03  | 50   | 0.5952          | 0.1959         | -0.1959          | 0.8125             | 0.3918          | -225.0688      | -260.4842    | -2.6980         | -2.6353       |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0