---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
model-index:
- name: sequence_classification
  results: []
---

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# sequence_classification

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: 0.8885
- Pearson: 0.8036

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 1.3148        | 1.0   | 619  | 0.9956          | 0.7674  |
| 0.9627        | 2.0   | 1238 | 0.8861          | 0.7987  |
| 0.8641        | 3.0   | 1857 | 0.9138          | 0.7965  |
| 0.7651        | 4.0   | 2476 | 0.8885          | 0.8036  |


### Framework versions

- PEFT 0.14.0
- Transformers 4.49.0.dev0
- Pytorch 2.4.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0