---
license: mit
library_name: peft
tags:
- trl
- kto
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-Agents-Zephyr-1.0.9-KTO
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# WeniGPT-Agents-Zephyr-1.0.9-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: 0.5443
- Rewards/chosen: -130.8165
- Logps/chosen: -1605.7635
- Rewards/rejected: -121.0086
- Logps/rejected: -1472.8949
- Kl: 0.0
- Rewards/margins: -16.2952

## 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: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 145
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Kl  | Rewards/margins |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---:|:---------------:|
| 0.4555        | 0.34  | 50   | 0.5443          | -148.8861      | -1786.4595   | -135.3632        | -1616.4402     | 0.0 | -20.0430        |
| 0.5714        | 0.68  | 100  | 0.5443          | -130.8165      | -1605.7635   | -121.0086        | -1472.8949     | 0.0 | -16.2952        |


### Framework versions

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