---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: NLLB_Egyptian_to_English256
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NLLB_Egyptian_to_English256

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: 2.4083
- Bleu: 18.8886
- Gen Len: 20.2415

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.5237        | 1.0   | 6248  | 2.2856          | 16.2331 | 20.3176 |
| 0.7885        | 2.0   | 12496 | 2.2266          | 17.554  | 20.3609 |
| 0.3508        | 3.0   | 18744 | 2.4083          | 18.8886 | 20.2415 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2