---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: english-to-darija-2
  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. -->

# english-to-darija-2

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0309
- Bleu: 66.9765
- Gen Len: 15.4554

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 2.5337        | 1.0   | 1392  | 2.0006          | 17.4965 | 15.0162 |
| 1.5827        | 2.0   | 2784  | 1.5484          | 26.9067 | 14.9165 |
| 1.133         | 3.0   | 4176  | 1.3098          | 38.9189 | 15.0717 |
| 0.8616        | 4.0   | 5568  | 1.1757          | 49.8352 | 15.2675 |
| 0.6862        | 5.0   | 6960  | 1.1013          | 57.7662 | 15.2131 |
| 0.5583        | 6.0   | 8352  | 1.0651          | 62.2156 | 15.2488 |
| 0.4734        | 7.0   | 9744  | 1.0460          | 65.0696 | 15.3751 |
| 0.4122        | 8.0   | 11136 | 1.0370          | 65.317  | 15.4677 |
| 0.3734        | 9.0   | 12528 | 1.0326          | 66.5766 | 15.4436 |
| 0.3354        | 10.0  | 13920 | 1.0309          | 66.9765 | 15.4554 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0