---
license: mit
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-QA-Zephyr-7B-4.0.1-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-4.0.1-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: 0.0038
- Rewards/chosen: 6.5225
- Rewards/rejected: -33.7048
- Rewards/margins: 40.2273
- Kl: 0.0
- Logps/chosen: -111.4407
- Logps/rejected: -539.2156

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:---------------:|:---:|:------------:|:--------------:|
| 0.204         | 0.38  | 50   | 0.0275          | 5.6328         | -20.3465         | 25.9793         | 0.0 | -120.3375    | -405.6329      |
| 0.073         | 0.76  | 100  | 0.0143          | 5.7898         | -19.2664         | 25.0562         | 0.0 | -118.7677    | -394.8320      |
| 0.0553        | 1.13  | 150  | 0.0225          | 5.8121         | -29.9815         | 35.7935         | 0.0 | -118.5453    | -501.9826      |
| 0.0232        | 1.51  | 200  | 0.0048          | 6.4515         | -27.5911         | 34.0425         | 0.0 | -112.1512    | -478.0785      |
| 0.0519        | 1.89  | 250  | 0.0081          | 6.4814         | -30.4910         | 36.9724         | 0.0 | -111.8522    | -507.0782      |
| 0.0095        | 2.27  | 300  | 0.0154          | 6.4081         | -33.8838         | 40.2919         | 0.0 | -112.5852    | -541.0063      |
| 0.0098        | 2.65  | 350  | 0.0052          | 6.5962         | -41.2733         | 47.8696         | 0.0 | -110.7035    | -614.9014      |
| 0.0038        | 3.02  | 400  | 0.0038          | 6.5225         | -33.7048         | 40.2273         | 0.0 | -111.4407    | -539.2156      |
| 0.0068        | 3.4   | 450  | 0.0080          | 6.3449         | -43.3527         | 49.6976         | 0.0 | -113.2169    | -635.6954      |
| 0.0037        | 3.78  | 500  | 0.0071          | 6.5639         | -44.5033         | 51.0672         | 0.0 | -111.0268    | -647.2004      |
| 0.0032        | 4.16  | 550  | 0.0085          | 6.6333         | -29.5095         | 36.1428         | 0.0 | -110.3333    | -497.2631      |
| 0.0029        | 4.54  | 600  | 0.0048          | 6.5574         | -42.0858         | 48.6432         | 0.0 | -111.0921    | -623.0258      |
| 0.0028        | 4.91  | 650  | 0.0041          | 6.6663         | -41.3645         | 48.0309         | 0.0 | -110.0026    | -615.8130      |
| 0.0032        | 5.29  | 700  | 0.0040          | 6.6773         | -41.2318         | 47.9091         | 0.0 | -109.8931    | -614.4858      |
| 0.003         | 5.67  | 750  | 0.0040          | 6.6870         | -41.2272         | 47.9142         | 0.0 | -109.7961    | -614.4399      |


### Framework versions

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