---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- 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/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1207
- Accuracy: 0.9755
- Precision: 0.7225
- Recall: 0.7652
- 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 1.0   | 204  | 0.0963          | 0.9710   | 0.6434    | 0.6814 | 0.6619 |
| No log        | 2.0   | 408  | 0.0877          | 0.9742   | 0.6677    | 0.7389 | 0.7015 |
| 0.1244        | 3.0   | 612  | 0.0957          | 0.9723   | 0.7054    | 0.6880 | 0.6966 |
| 0.1244        | 4.0   | 816  | 0.0903          | 0.9759   | 0.7323    | 0.7635 | 0.7476 |
| 0.0318        | 5.0   | 1020 | 0.1059          | 0.9732   | 0.6986    | 0.7192 | 0.7087 |
| 0.0318        | 6.0   | 1224 | 0.1025          | 0.9758   | 0.7179    | 0.7438 | 0.7306 |
| 0.0318        | 7.0   | 1428 | 0.1177          | 0.9742   | 0.7072    | 0.7455 | 0.7258 |
| 0.0136        | 8.0   | 1632 | 0.1172          | 0.9754   | 0.7134    | 0.7603 | 0.7361 |
| 0.0136        | 9.0   | 1836 | 0.1199          | 0.9755   | 0.7229    | 0.7668 | 0.7442 |
| 0.009         | 10.0  | 2040 | 0.1207          | 0.9755   | 0.7225    | 0.7652 | 0.7432 |


### Framework versions

- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2