---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Llama-3.2-1B-Instruct-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3.2-1B-Instruct-classifier

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2160
- Accuracy: 0.9308
- F1: 0.8621

## 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: 32
- eval_batch_size: 32
- 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: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log        | 0      | 0    | 1.0194          | 0.4524   | 0.3310 |
| No log        | 0.2020 | 79   | 0.3185          | 0.8804   | 0.7508 |
| No log        | 0.4041 | 158  | 0.2728          | 0.8948   | 0.7989 |
| No log        | 0.6061 | 237  | 0.2436          | 0.9006   | 0.8110 |
| No log        | 0.8082 | 316  | 0.2251          | 0.8963   | 0.7895 |
| No log        | 1.0102 | 395  | 0.2713          | 0.8905   | 0.81   |
| No log        | 1.2123 | 474  | 0.3203          | 0.9020   | 0.8162 |
| 0.3016        | 1.4143 | 553  | 0.2289          | 0.9164   | 0.8324 |
| 0.3016        | 1.6164 | 632  | 0.2306          | 0.9280   | 0.8641 |
| 0.3016        | 1.8184 | 711  | 0.2160          | 0.9308   | 0.8621 |


### Framework versions

- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2