README.md

---
license: mit
library_name: peft
tags:
- trl
- kto
- KTO
- WeniGPT
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: WeniGPT-Agents-Zephyr-1.0.17-KTO
  results: []
---

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# WeniGPT-Agents-Zephyr-1.0.17-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: 0.4733
- Eval/rewards/chosen: -221.5663
- Eval/logps/chosen: -2499.3209
- Eval/rewards/rejected: -201.6566
- Eval/logps/rejected: -2280.9316
- Eval/rewards/margins: -19.9096
- Eval/kl: 0.0

## 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 |     |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.4844        | 0.34  | 50   | 0.4733          | 0.0 |
| 0.5031        | 0.68  | 100  | 0.4733          | 0.0 |


### Framework versions

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