---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- opus_infopankki
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: opus_infopankki
      type: opus_infopankki
      args: ar-en
    metrics:
    - name: Bleu
      type: bleu
      value: 28.9919
---

<!-- 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 opus_infopankki dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6629
- Bleu: 28.9919
- Gen Len: 15.6512

## 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: 11
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 159  | 2.1441          | 22.0728 | 16.5805 |
| No log        | 2.0   | 318  | 2.0141          | 23.888  | 16.3754 |
| No log        | 3.0   | 477  | 1.9228          | 25.2541 | 15.835  |
| 2.2356        | 4.0   | 636  | 1.8523          | 26.299  | 15.7874 |
| 2.2356        | 5.0   | 795  | 1.7971          | 26.8646 | 16.0247 |
| 2.2356        | 6.0   | 954  | 1.7536          | 27.2391 | 16.013  |
| 1.9609        | 7.0   | 1113 | 1.7200          | 27.7471 | 16.0237 |
| 1.9609        | 8.0   | 1272 | 1.6945          | 28.4924 | 15.6563 |
| 1.9609        | 9.0   | 1431 | 1.6771          | 28.8024 | 15.6445 |
| 1.8388        | 10.0  | 1590 | 1.6665          | 29.0016 | 15.6429 |
| 1.8388        | 11.0  | 1749 | 1.6629          | 28.9919 | 15.6512 |


### Framework versions

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