---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: darija-latin-to-english-new
  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. -->

# darija-latin-to-english-new

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0635
- Bleu: 18.3432
- Gen Len: 9.0506

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.046         | 0.24  | 500  | 0.0939          | 4.0335  | 11.1293 |
| 0.0347        | 0.48  | 1000 | 0.0788          | 9.8265  | 10.1861 |
| 0.0279        | 0.72  | 1500 | 0.0725          | 13.178  | 9.6648  |
| 0.0251        | 0.96  | 2000 | 0.0684          | 15.8154 | 9.536   |
| 0.0211        | 1.2   | 2500 | 0.0666          | 17.0063 | 9.3259  |
| 0.0197        | 1.44  | 3000 | 0.0650          | 17.4465 | 9.2086  |
| 0.0199        | 1.68  | 3500 | 0.0639          | 18.3809 | 9.0083  |
| 0.0191        | 1.92  | 4000 | 0.0635          | 18.3432 | 9.0506  |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2