---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
library_name: peft
license: llama3
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: results_1
  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_1

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: 0.5411

## 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: 12

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 0.7711        | 1.1844  | 53   | 0.6969          |
| 0.614         | 2.3687  | 106  | 0.6113          |
| 0.5994        | 3.5531  | 159  | 0.5945          |
| 0.5602        | 4.7374  | 212  | 0.5745          |
| 0.5807        | 5.9218  | 265  | 0.5630          |
| 0.5484        | 7.1061  | 318  | 0.5532          |
| 0.543         | 8.2905  | 371  | 0.5472          |
| 0.4977        | 9.4749  | 424  | 0.5436          |
| 0.5072        | 10.6592 | 477  | 0.5411          |


### Framework versions

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