---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: opus-mt-ar-en-finetuned-ar-to-en
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: opus100
      type: opus100
      args: ar-en
    metrics:
    - name: Bleu
      type: bleu
      value: 46.8089
---

<!-- 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-ar-en-finetuned-ar-to-en

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 opus100 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0713
- Bleu: 46.8089
- Gen Len: 14.1755

## 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-06
- 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: 16
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 312  | 1.2132          | 43.7663 | 14.4193 |
| 1.3072        | 2.0   | 624  | 1.1869          | 44.1712 | 14.4054 |
| 1.3072        | 3.0   | 936  | 1.1675          | 44.5448 | 14.2182 |
| 1.2535        | 4.0   | 1248 | 1.1510          | 44.8762 | 14.2004 |
| 1.2309        | 5.0   | 1560 | 1.1375          | 45.2067 | 14.1375 |
| 1.2309        | 6.0   | 1872 | 1.1251          | 45.4479 | 14.1887 |
| 1.21          | 7.0   | 2184 | 1.1145          | 45.7117 | 14.2103 |
| 1.21          | 8.0   | 2496 | 1.1051          | 45.951  | 14.1665 |
| 1.1896        | 9.0   | 2808 | 1.0968          | 46.1647 | 14.178  |
| 1.1837        | 10.0  | 3120 | 1.0899          | 46.342  | 14.1819 |
| 1.1837        | 11.0  | 3432 | 1.0842          | 46.4735 | 14.1672 |
| 1.1589        | 12.0  | 3744 | 1.0795          | 46.561  | 14.1729 |
| 1.1523        | 13.0  | 4056 | 1.0759          | 46.6884 | 14.1706 |
| 1.1523        | 14.0  | 4368 | 1.0733          | 46.7542 | 14.1735 |
| 1.1524        | 15.0  | 4680 | 1.0718          | 46.7835 | 14.1712 |
| 1.1524        | 16.0  | 4992 | 1.0713          | 46.8089 | 14.1755 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.7.1+cu110
- Datasets 2.2.2
- Tokenizers 0.12.1