---
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B-Instruct
tags:
- generated_from_trainer
datasets:
- cc100
model-index:
- name: cc100-zh-Hans-unsupervised-20241110-165558
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cc100-zh-Hans-unsupervised-20241110-165558

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 the cc100 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5122

## 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: 5e-05
- train_batch_size: 24
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 4.3331        | 0.0833 | 250  | 4.3223          |
| 4.07          | 0.1667 | 500  | 4.1778          |
| 3.8022        | 0.25   | 750  | 4.1002          |
| 4.2938        | 0.3333 | 1000 | 3.9540          |
| 4.1352        | 0.4167 | 1250 | 3.9815          |
| 2.9199        | 0.5    | 1500 | 3.8021          |
| 4.3933        | 0.5833 | 1750 | 3.7528          |
| 3.6174        | 0.6667 | 2000 | 3.6856          |
| 3.5882        | 0.75   | 2250 | 3.6198          |
| 3.847         | 0.8333 | 2500 | 3.5746          |
| 3.5199        | 0.9167 | 2750 | 3.5320          |
| 3.735         | 1.0    | 3000 | 3.5122          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.19.1
- Tokenizers 0.20.1