---
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: 0.0570
- Bleu: 23.5668
- Gen Len: 8.8618

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0178        | 0.24  | 500  | 0.0630          | 18.503  | 9.3352  |
| 0.0165        | 0.48  | 1000 | 0.0615          | 19.3363 | 9.6601  |
| 0.0154        | 0.72  | 1500 | 0.0600          | 20.7491 | 9.3712  |
| 0.0154        | 0.96  | 2000 | 0.0587          | 22.3931 | 9.2534  |
| 0.0131        | 1.2   | 2500 | 0.0584          | 23.1796 | 9.3425  |
| 0.0128        | 1.44  | 3000 | 0.0579          | 22.4839 | 9.0177  |
| 0.0138        | 1.68  | 3500 | 0.0573          | 22.3119 | 9.1767  |
| 0.0138        | 1.92  | 4000 | 0.0570          | 23.5668 | 8.8618  |


### Framework versions

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