---
license: apache-2.0
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: WeniGPT-QA-Zephyr-7B-5.0.1-KTO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# WeniGPT-QA-Zephyr-7B-5.0.1-KTO

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0146
- Eval/rewards/chosen: 6.5462
- Eval/rewards/rejected: -30.7776
- Eval/kl: 0.2505
- Eval/logps/chosen: -129.4441
- Eval/logps/rejected: -508.0271
- Eval/rewards/margins: 37.3238

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 262
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |         |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1177        | 0.38  | 50   | 0.0468          | 24.8637 |
| 0.0257        | 0.76  | 100  | 0.0236          | 30.5016 |
| 0.0141        | 1.14  | 150  | 0.0219          | 33.9185 |
| 0.0103        | 1.52  | 200  | 0.0146          | 37.3238 |
| 0.0084        | 1.9   | 250  | 0.0129          | 39.0837 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.1