---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

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: 0.4878

## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.6255        | 1.9665  | 88   | 0.6068          |
| 0.5655        | 3.9330  | 176  | 0.5801          |
| 0.5342        | 5.8994  | 264  | 0.5503          |
| 0.5044        | 7.8659  | 352  | 0.5312          |
| 0.48          | 9.8324  | 440  | 0.5123          |
| 0.4487        | 11.7989 | 528  | 0.5025          |
| 0.4325        | 13.7654 | 616  | 0.4943          |
| 0.4053        | 15.7318 | 704  | 0.4901          |
| 0.4218        | 17.6983 | 792  | 0.4892          |
| 0.4087        | 19.6648 | 880  | 0.4878          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.42.3
- Pytorch 2.3.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1