---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Llama1B_mrpc
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama1B_mrpc

This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6757
- Accuracy: 0.8064
- F1: 0.8668

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.6439        | 1.0   | 115  | 0.4702          | 0.7819   | 0.8576 |
| 0.72          | 2.0   | 230  | 0.4350          | 0.8088   | 0.8617 |
| 0.4135        | 3.0   | 345  | 0.7815          | 0.7721   | 0.8215 |
| 0.1995        | 4.0   | 460  | 1.1299          | 0.8186   | 0.8683 |
| 0.1434        | 5.0   | 575  | 1.1574          | 0.8235   | 0.8754 |
| 0.1283        | 6.0   | 690  | 1.4867          | 0.8162   | 0.8687 |
| 0.0243        | 7.0   | 805  | 1.7604          | 0.8113   | 0.8697 |
| 0.0108        | 8.0   | 920  | 1.6907          | 0.8113   | 0.8715 |
| 0.0085        | 9.0   | 1035 | 1.6195          | 0.8088   | 0.8678 |
| 0.0048        | 10.0  | 1150 | 1.6757          | 0.8064   | 0.8668 |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0