---
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: 0.0525
- Bleu: 29.8636
- Gen Len: 8.8467

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 0.36  | 100  | 0.0530          | 29.1142 | 8.8582  |
| No log        | 0.71  | 200  | 0.0530          | 28.9361 | 9.0068  |
| No log        | 1.07  | 300  | 0.0528          | 29.0076 | 8.6585  |
| No log        | 1.43  | 400  | 0.0531          | 29.1383 | 8.9458  |
| 0.0229        | 1.79  | 500  | 0.0529          | 29.7316 | 8.6507  |
| 0.0229        | 2.14  | 600  | 0.0529          | 30.0367 | 8.8326  |
| 0.0229        | 2.5   | 700  | 0.0529          | 29.8774 | 8.8947  |
| 0.0229        | 2.86  | 800  | 0.0526          | 29.4939 | 8.5792  |
| 0.0229        | 3.21  | 900  | 0.0525          | 29.6445 | 8.877   |
| 0.0219        | 3.57  | 1000 | 0.0525          | 29.5756 | 8.8233  |
| 0.0219        | 3.93  | 1100 | 0.0525          | 29.7202 | 8.9447  |
| 0.0219        | 4.29  | 1200 | 0.0526          | 29.6961 | 8.8869  |
| 0.0219        | 4.64  | 1300 | 0.0526          | 29.9186 | 8.854   |
| 0.0219        | 5.0   | 1400 | 0.0525          | 29.8636 | 8.8467  |


### Framework versions

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