---
license: mit
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-QA-Zephyr-7B-5.0.0-KTO
  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. -->

# WeniGPT-QA-Zephyr-7B-5.0.0-KTO

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0062
- Rewards/chosen: 6.6430
- Rewards/rejected: -36.7537
- Rewards/margins: 43.3967
- Kl: 0.1669
- Logps/chosen: -144.6907
- Logps/rejected: -566.5795

## 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: 786
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/margins | Kl     | Logps/chosen | Logps/rejected |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:---------------:|:------:|:------------:|:--------------:|
| 0.1437        | 0.38  | 50   | 0.0282          | 5.2842         | -20.1101         | 25.3943         | 0.0961 | -158.2786    | -400.1437      |
| 0.0615        | 0.76  | 100  | 0.0222          | 5.7502         | -18.4500         | 24.2003         | 0.5886 | -153.6186    | -383.5430      |
| 0.0346        | 1.14  | 150  | 0.0398          | 4.8839         | -41.3691         | 46.2529         | 0.3036 | -162.2825    | -612.7335      |
| 0.0563        | 1.52  | 200  | 0.0212          | 6.1746         | -26.4848         | 32.6594         | 0.1584 | -149.3753    | -463.8907      |
| 0.0533        | 1.9   | 250  | 0.0134          | 6.1913         | -29.0566         | 35.2479         | 0.4595 | -149.2076    | -489.6085      |
| 0.0076        | 2.28  | 300  | 0.0161          | 6.3153         | -25.4861         | 31.8015         | 0.6193 | -147.9676    | -453.9040      |
| 0.011         | 2.66  | 350  | 0.0120          | 6.3302         | -37.6836         | 44.0138         | 0.4913 | -147.8187    | -575.8787      |
| 0.0049        | 3.04  | 400  | 0.0102          | 6.3273         | -29.9323         | 36.2596         | 0.4649 | -147.8484    | -498.3662      |
| 0.0028        | 3.42  | 450  | 0.0083          | 6.5215         | -34.1028         | 40.6243         | 0.2949 | -145.9056    | -540.0707      |
| 0.0087        | 3.8   | 500  | 0.0096          | 6.4117         | -35.2134         | 41.6251         | 0.0923 | -147.0044    | -551.1769      |
| 0.004         | 4.18  | 550  | 0.0075          | 6.5708         | -37.6298         | 44.2006         | 0.1574 | -145.4131    | -575.3412      |
| 0.0036        | 4.56  | 600  | 0.0068          | 6.6432         | -36.6865         | 43.3297         | 0.1629 | -144.6893    | -565.9077      |
| 0.003         | 4.94  | 650  | 0.0064          | 6.6633         | -36.7249         | 43.3882         | 0.1661 | -144.4881    | -566.2917      |
| 0.0016        | 5.32  | 700  | 0.0062          | 6.6430         | -36.7537         | 43.3967         | 0.1669 | -144.6907    | -566.5795      |
| 0.0042        | 5.7   | 750  | 0.0062          | 6.6553         | -36.6367         | 43.2920         | 0.1671 | -144.5682    | -565.4096      |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2