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Asia-N/
opus-mt-ar-en-finetuned-ar-to-en

Name: opus-mt-ar-en-finetuned-ar-to-en
Availability: InStock

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opus-mt-ar-en-finetuned-ar-to-en

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the news_commentary dataset. It achieves the following results on the evaluation set:

Loss: 10.6102
Bleu: 32.5327
Gen Len: 56.234

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	32	10.6112	32.5327	56.234
No log	2.0	64	10.6103	32.5327	56.234
No log	3.0	96	10.6102	32.5327	56.234

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.2
Tokenizers 0.12.1

Asia-N/opus-mt-ar-en-finetuned-ar-to-en

opus-mt-ar-en-finetuned-ar-to-en

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Asia-N/
opus-mt-ar-en-finetuned-ar-to-en