---
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-Paiwan
  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-Paiwan

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: 7.3958

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 7.4934        | 1.0   | 201  | 7.4371          |
| 7.4808        | 2.0   | 402  | 7.4273          |
| 7.4608        | 3.0   | 603  | 7.4223          |
| 7.4547        | 4.0   | 804  | 7.4194          |
| 7.4386        | 5.0   | 1005 | 7.4172          |
| 7.4414        | 6.0   | 1206 | 7.4116          |
| 7.4349        | 7.0   | 1407 | 7.4079          |
| 7.4189        | 8.0   | 1608 | 7.4040          |
| 7.4228        | 9.0   | 1809 | 7.4029          |
| 7.4111        | 10.0  | 2010 | 7.4001          |
| 7.4093        | 11.0  | 2211 | 7.3995          |
| 7.4088        | 12.0  | 2412 | 7.3982          |
| 7.4067        | 13.0  | 2613 | 7.3981          |
| 7.402         | 14.0  | 2814 | 7.3971          |
| 7.3989        | 15.0  | 3015 | 7.3963          |
| 7.3954        | 16.0  | 3216 | 7.3960          |
| 7.3914        | 17.0  | 3417 | 7.3960          |
| 7.3803        | 18.0  | 3618 | 7.3959          |
| 7.3742        | 19.0  | 3819 | 7.3963          |
| 7.3832        | 20.0  | 4020 | 7.3958          |


### Framework versions

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