---
base_model: meta-llama/Llama-3.2-1B
library_name: transformers
license: llama3.2
tags:
- generated_from_trainer
model-index:
- name: Llama3.2-1B-bbc_en-e3-bs32-lr1e-4cos-wd0.1-wr0.01
  results: []
---

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# Llama3.2-1B-bbc_en-e3-bs32-lr1e-4cos-wd0.1-wr0.01

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.

## 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: 8
- seed: 42
- optimizer: Use adafactor and the args are:
No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.46.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0