---
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: 44.5107
---

<!-- 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: 0.9956
- Bleu: 44.5107
- Gen Len: 14.6465

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.696         | 1.0   | 950   | 1.4125          | 35.5899 | 15.0109 |
| 1.4952        | 2.0   | 1900  | 1.2969          | 38.1745 | 14.7736 |
| 1.3821        | 3.0   | 2850  | 1.2175          | 39.8192 | 14.7649 |
| 1.2941        | 4.0   | 3800  | 1.1571          | 40.9966 | 14.7446 |
| 1.2409        | 5.0   | 4750  | 1.1097          | 41.9215 | 14.7406 |
| 1.1938        | 6.0   | 5700  | 1.0721          | 42.868  | 14.6819 |
| 1.1634        | 7.0   | 6650  | 1.0440          | 43.4749 | 14.6536 |
| 1.1355        | 8.0   | 7600  | 1.0223          | 43.9275 | 14.6809 |
| 1.1161        | 9.0   | 8550  | 1.0075          | 44.2378 | 14.6471 |
| 1.1103        | 10.0  | 9500  | 0.9987          | 44.4293 | 14.639  |
| 1.1043        | 11.0  | 10450 | 0.9956          | 44.5107 | 14.6465 |


### Framework versions

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