---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: north-translation
  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. -->

# north-translation

This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1809

## 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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.6535        | 0.3333 | 50   | 6.5107          |
| 4.8917        | 0.6667 | 100  | 4.6859          |
| 3.3227        | 1.0    | 150  | 3.1355          |
| 1.89          | 1.3333 | 200  | 1.7087          |
| 0.8322        | 1.6667 | 250  | 0.6969          |
| 0.3733        | 2.0    | 300  | 0.3310          |
| 0.2401        | 2.3333 | 350  | 0.2457          |
| 0.2166        | 2.6667 | 400  | 0.2203          |
| 0.2199        | 3.0    | 450  | 0.2098          |
| 0.1924        | 3.3333 | 500  | 0.2011          |
| 0.2007        | 3.6667 | 550  | 0.1967          |
| 0.1901        | 4.0    | 600  | 0.1922          |
| 0.1753        | 4.3333 | 650  | 0.1905          |
| 0.1523        | 4.6667 | 700  | 0.1882          |
| 0.1863        | 5.0    | 750  | 0.1842          |
| 0.1432        | 5.3333 | 800  | 0.1851          |
| 0.1525        | 5.6667 | 850  | 0.1833          |
| 0.1377        | 6.0    | 900  | 0.1812          |
| 0.1319        | 6.3333 | 950  | 0.1823          |
| 0.1608        | 6.6667 | 1000 | 0.1821          |
| 0.1535        | 7.0    | 1050 | 0.1807          |
| 0.14          | 7.3333 | 1100 | 0.1811          |
| 0.1347        | 7.6667 | 1150 | 0.1812          |
| 0.1484        | 8.0    | 1200 | 0.1809          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1