---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nllb-200-distilled-600M-finetuned-ar-to-en
  results: []
pipeline_tag: translation
---

<!-- 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-200-distilled-600M-finetuned-ar-to-en

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: 0.7281
- Bleu: 63.3172
- Gen Len: 65.7

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.4803        | 1.0   | 695  | 0.9925          | 48.0036 | 68.092  |
| 1.0588        | 2.0   | 1390 | 0.8618          | 53.6714 | 67.794  |
| 0.8397        | 3.0   | 2085 | 0.8034          | 56.8749 | 67.316  |
| 0.7816        | 4.0   | 2780 | 0.7718          | 59.7588 | 65.822  |
| 0.7349        | 5.0   | 3475 | 0.7509          | 60.9155 | 66.205  |
| 0.6737        | 6.0   | 4170 | 0.7422          | 61.9048 | 65.348  |
| 0.6373        | 7.0   | 4865 | 0.7338          | 62.8549 | 65.607  |
| 0.617         | 8.0   | 5560 | 0.7308          | 63.6105 | 65.335  |
| 0.6068        | 9.0   | 6255 | 0.7276          | 63.452  | 65.594  |
| 0.5913        | 10.0  | 6950 | 0.7281          | 63.3172 | 65.7    |


### Framework versions

- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3