---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
  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. -->

# opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0027
- Bleu: 9.3993
- Gen Len: 14.8889

## 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: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|
| No log        | 1.0   | 21   | 8.1233          | 0.0     | 217.5833 |
| No log        | 2.0   | 42   | 7.3522          | 0.1587  | 139.6111 |
| No log        | 3.0   | 63   | 6.7128          | 0.2113  | 63.9722  |
| No log        | 4.0   | 84   | 6.2283          | 0.2611  | 25.7222  |
| No log        | 5.0   | 105  | 5.7868          | 0.2545  | 27.3333  |
| No log        | 6.0   | 126  | 5.4596          | 0.4153  | 25.75    |
| No log        | 7.0   | 147  | 5.1424          | 0.8436  | 12.6944  |
| No log        | 8.0   | 168  | 4.8195          | 0.8365  | 13.3889  |
| No log        | 9.0   | 189  | 4.6181          | 1.2564  | 12.3889  |
| No log        | 10.0  | 210  | 4.3480          | 1.7124  | 12.9722  |
| No log        | 11.0  | 231  | 4.1206          | 3.2404  | 13.4167  |
| No log        | 12.0  | 252  | 3.8982          | 2.4371  | 14.4167  |
| No log        | 13.0  | 273  | 3.7679          | 3.9697  | 14.2778  |
| No log        | 14.0  | 294  | 3.6359          | 4.7946  | 13.8889  |
| No log        | 15.0  | 315  | 3.4940          | 5.9909  | 14.75    |
| No log        | 16.0  | 336  | 3.3826          | 8.193   | 14.5278  |
| No log        | 17.0  | 357  | 3.3084          | 7.5299  | 14.3056  |
| No log        | 18.0  | 378  | 3.2302          | 8.5741  | 14.5833  |
| No log        | 19.0  | 399  | 3.1751          | 5.9148  | 14.8611  |
| No log        | 20.0  | 420  | 3.1242          | 10.389  | 14.3889  |
| No log        | 21.0  | 441  | 3.0618          | 10.5285 | 14.6944  |
| No log        | 22.0  | 462  | 3.0439          | 11.3953 | 14.6667  |
| No log        | 23.0  | 483  | 3.0161          | 10.9885 | 14.8889  |
| 4.3311        | 24.0  | 504  | 3.0184          | 9.6143  | 14.7778  |
| 4.3311        | 25.0  | 525  | 3.0027          | 9.3993  | 14.8889  |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3