---
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_augmented_MTbak_cleaned_ar-to-en
  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-200-distilled-600M-finetuned_augmented_MTbak_cleaned_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: 0.9003
- Bleu: 54.3021
- Gen Len: 39.3817

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.1718        | 1.0   | 2071  | 1.0140          | 46.727  | 39.6324 |
| 1.0097        | 2.0   | 4142  | 0.9450          | 50.6721 | 39.8258 |
| 0.8944        | 3.0   | 6213  | 0.9171          | 51.0894 | 39.9446 |
| 0.8192        | 4.0   | 8284  | 0.9010          | 52.8059 | 39.3494 |
| 0.7689        | 5.0   | 10355 | 0.8980          | 53.1204 | 39.5579 |
| 0.7511        | 6.0   | 12426 | 0.8946          | 53.5769 | 39.4814 |
| 0.685         | 7.0   | 14497 | 0.8968          | 53.8032 | 39.6365 |
| 0.6849        | 8.0   | 16568 | 0.8987          | 54.3402 | 39.5227 |
| 0.6548        | 9.0   | 18639 | 0.8992          | 54.4944 | 39.5619 |
| 0.6429        | 10.0  | 20710 | 0.9003          | 54.3021 | 39.3817 |


### Framework versions

- Transformers 4.33.0
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3