---
base_model: meta-llama/Meta-Llama-3-8B
library_name: peft
license: llama3
metrics:
- accuracy
- precision
- recall
- f1
tags:
- generated_from_trainer
model-index:
- name: Output_llama2_70-15-15_new
  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. -->

# Output_llama2_70-15-15_new

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6310
- Accuracy: 0.6474
- Precision: 0.6760
- Recall: 0.6474
- F1: 0.6376

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 46   | 0.7791          | 0.4808   | 0.2311    | 0.4808 | 0.3122 |
| No log        | 2.0   | 92   | 0.7556          | 0.4872   | 0.7519    | 0.4872 | 0.3262 |
| No log        | 3.0   | 138  | 0.7071          | 0.5064   | 0.5708    | 0.5064 | 0.4086 |
| No log        | 4.0   | 184  | 0.7045          | 0.5      | 0.5549    | 0.5    | 0.3971 |
| No log        | 5.0   | 230  | 0.6714          | 0.5705   | 0.6227    | 0.5705 | 0.5340 |
| No log        | 6.0   | 276  | 0.6976          | 0.4936   | 0.5303    | 0.4936 | 0.3932 |
| No log        | 7.0   | 322  | 0.6453          | 0.6603   | 0.6906    | 0.6603 | 0.6507 |
| No log        | 8.0   | 368  | 0.6640          | 0.5769   | 0.6429    | 0.5769 | 0.5354 |
| No log        | 9.0   | 414  | 0.6460          | 0.6154   | 0.6643    | 0.6154 | 0.5928 |
| No log        | 10.0  | 460  | 0.6310          | 0.6474   | 0.6760    | 0.6474 | 0.6376 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1