---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: nllb-finetuned-ar-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-finetuned-ar-en

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: 0.6562

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5222        | 1.0   | 515  | 1.2649          |
| 1.2832        | 2.0   | 1030 | 1.1357          |
| 1.1181        | 3.0   | 1545 | 1.0412          |
| 1.0074        | 4.0   | 2060 | 0.9647          |
| 0.8996        | 5.0   | 2575 | 0.8987          |
| 0.8206        | 6.0   | 3090 | 0.8478          |
| 0.7525        | 7.0   | 3605 | 0.8047          |
| 0.6886        | 8.0   | 4120 | 0.7683          |
| 0.6443        | 9.0   | 4635 | 0.7336          |
| 0.5983        | 10.0  | 5150 | 0.7076          |
| 0.5675        | 11.0  | 5665 | 0.6910          |
| 0.5415        | 12.0  | 6180 | 0.6744          |
| 0.524         | 13.0  | 6695 | 0.6652          |
| 0.5028        | 14.0  | 7210 | 0.6578          |
| 0.5028        | 15.0  | 7725 | 0.6562          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1