---
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
metrics:
- f1
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](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5408
- F1: 0.7432

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 1.7866        | 0.0684 | 16   | 1.4251          | 0.4727 |
| 1.2951        | 0.1368 | 32   | 1.2220          | 0.4906 |
| 1.1455        | 0.2051 | 48   | 1.0200          | 0.5153 |
| 0.9479        | 0.2735 | 64   | 0.8454          | 0.5595 |
| 0.7627        | 0.3419 | 80   | 0.7389          | 0.6079 |
| 0.7078        | 0.4103 | 96   | 0.7002          | 0.6453 |
| 0.6751        | 0.4786 | 112  | 0.6589          | 0.6638 |
| 0.6441        | 0.5470 | 128  | 0.6116          | 0.6877 |
| 0.5576        | 0.6154 | 144  | 0.5869          | 0.7088 |
| 0.581         | 0.6838 | 160  | 0.5639          | 0.7300 |
| 0.5661        | 0.7521 | 176  | 0.5626          | 0.7287 |
| 0.5795        | 0.8205 | 192  | 0.5505          | 0.7399 |
| 0.5344        | 0.8889 | 208  | 0.5528          | 0.7326 |
| 0.5385        | 0.9573 | 224  | 0.5408          | 0.7432 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1