---
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_synthetic_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_synthetic_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: 0.7548
- Bleu: 55.0936
- Gen Len: 71.309

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.0702        | 1.0   | 2085  | 0.9530          | 45.7652 | 72.802  |
| 0.8945        | 2.0   | 4170  | 0.8525          | 51.7618 | 70.845  |
| 0.8323        | 3.0   | 6255  | 0.8107          | 52.8262 | 71.099  |
| 0.7552        | 4.0   | 8340  | 0.7867          | 54.4572 | 71.243  |
| 0.7133        | 5.0   | 10425 | 0.7717          | 55.0749 | 71.354  |
| 0.6844        | 6.0   | 12510 | 0.7648          | 55.5344 | 71.477  |
| 0.6439        | 7.0   | 14595 | 0.7595          | 55.6968 | 70.883  |
| 0.6338        | 8.0   | 16680 | 0.7546          | 54.7998 | 71.414  |
| 0.6098        | 9.0   | 18765 | 0.7544          | 54.7933 | 71.567  |
| 0.6066        | 10.0  | 20850 | 0.7548          | 55.0936 | 71.309  |


### Framework versions

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