---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- news_commentary
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: news_commentary
      type: news_commentary
      args: ar-en
    metrics:
    - name: Bleu
      type: bleu
      value: 32.7441
---

<!-- 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 news_commentary dataset.
It achieves the following results on the evaluation set:
- Loss: 8.4400
- Bleu: 32.7441
- Gen Len: 57.02

## 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-09
- 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 4    | 8.4406          | 32.7441 | 57.02   |
| No log        | 2.0   | 8    | 8.4405          | 32.7441 | 57.02   |
| No log        | 3.0   | 12   | 8.4403          | 32.7441 | 57.02   |
| No log        | 4.0   | 16   | 8.4402          | 32.7441 | 57.02   |
| No log        | 5.0   | 20   | 8.4401          | 32.7441 | 57.02   |
| No log        | 6.0   | 24   | 8.4400          | 32.7441 | 57.02   |
| No log        | 7.0   | 28   | 8.4400          | 32.7441 | 57.02   |
| No log        | 8.0   | 32   | 8.4400          | 32.7441 | 57.02   |
| No log        | 9.0   | 36   | 8.4400          | 32.7441 | 57.02   |
| No log        | 10.0  | 40   | 8.4400          | 32.7441 | 57.02   |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1