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---
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
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