---
library_name: peft
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: nllb-lora-zh2Atayal
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# nllb-lora-zh2Atayal

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.1847

## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 7.0315        | 1.0     | 240  | 7.3253          |
| 6.9621        | 2.0     | 480  | 7.2832          |
| 6.9505        | 3.0     | 720  | 7.2591          |
| 6.9091        | 4.0     | 960  | 7.2445          |
| 6.8988        | 5.0     | 1200 | 7.2312          |
| 6.9053        | 6.0     | 1440 | 7.2217          |
| 6.8806        | 7.0     | 1680 | 7.2163          |
| 6.8691        | 8.0     | 1920 | 7.2096          |
| 6.8917        | 9.0     | 2160 | 7.2044          |
| 6.8568        | 10.0    | 2400 | 7.1998          |
| 6.8459        | 11.0    | 2640 | 7.1964          |
| 6.8482        | 12.0    | 2880 | 7.1950          |
| 6.867         | 13.0    | 3120 | 7.1915          |
| 6.8377        | 14.0    | 3360 | 7.1902          |
| 6.8557        | 15.0    | 3600 | 7.1890          |
| 6.8409        | 16.0    | 3840 | 7.1872          |
| 6.8447        | 17.0    | 4080 | 7.1870          |
| 6.8176        | 18.0    | 4320 | 7.1849          |
| 6.8346        | 19.0    | 4560 | 7.1852          |
| 7.1757        | 19.9186 | 4780 | 7.1847          |


### Framework versions

- PEFT 0.15.0
- Transformers 4.51.2
- Pytorch 2.2.2+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1