---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: darija_englishV2.1
  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_englishV2.1

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-en-ar) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7040
- Bleu: 12.742
- Gen Len: 20.3377

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.5676        | 1.0   | 1594  | 2.3131          | 4.0762  | 20.1524 |
| 2.2377        | 2.0   | 3188  | 2.0278          | 6.9717  | 19.6011 |
| 2.0346        | 3.0   | 4782  | 1.8873          | 8.6742  | 20.1966 |
| 1.9014        | 4.0   | 6376  | 1.7936          | 10.9222 | 20.3141 |
| 1.8041        | 5.0   | 7970  | 1.7512          | 11.815  | 20.9877 |
| 1.7403        | 6.0   | 9564  | 1.7156          | 12.5773 | 20.6206 |
| 1.7077        | 7.0   | 11158 | 1.7040          | 12.742  | 20.3377 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1