---
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: 0.8514
- Bleu: 70.9947
- Gen Len: 9.092

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.6032        | 1.0   | 4651  | 1.4540          | 25.9364 | 8.9697  |
| 1.1191        | 2.0   | 9302  | 1.0805          | 48.0549 | 9.0661  |
| 0.8048        | 3.0   | 13953 | 0.9419          | 61.3646 | 9.1018  |
| 0.5978        | 4.0   | 18604 | 0.8939          | 65.6846 | 9.1161  |
| 0.477         | 5.0   | 23255 | 0.8623          | 68.0005 | 9.1049  |
| 0.4228        | 6.0   | 27906 | 0.8540          | 69.1959 | 9.1276  |
| 0.3534        | 7.0   | 32557 | 0.8479          | 69.944  | 9.0744  |
| 0.305         | 8.0   | 37208 | 0.8473          | 70.55   | 9.0987  |
| 0.2678        | 9.0   | 41859 | 0.8489          | 70.8065 | 9.1166  |
| 0.243         | 10.0  | 46510 | 0.8514          | 70.9947 | 9.092   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1