---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- kto
- generated_from_trainer
model-index:
- name: kto-aligned-model-lora
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pauld/huggingface/runs/em482maw)
# kto-aligned-model-lora

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5001
- Eval/rewards/chosen: 0.1739
- Eval/logps/chosen: -0.4029
- Eval/rewards/rejected: 0.1787
- Eval/logps/rejected: -0.0087
- Eval/rewards/margins: -0.0048
- Eval/kl: 1.7305

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |        |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.5           | 1.0   | 9    | 0.5000          | 1.2364 |
| 0.4994        | 2.0   | 18   | 0.5002          | 1.7169 |
| 0.4985        | 3.0   | 27   | 0.5003          | 1.7311 |
| 0.4981        | 4.0   | 36   | 0.5002          | 1.7306 |
| 0.4976        | 5.0   | 45   | 0.5001          | 1.7305 |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.2
- Pytorch 2.2.0
- Datasets 2.20.0
- Tokenizers 0.19.1