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mohamedtolba/
opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2

Name: opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2
Availability: InStock

generated_from_trainer

Helsinki-NLP/opus-mt-tc-big-en-ar

finetune

cc-by-4.0

endpoints_compatible

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opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2

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

Loss: 5.6837
Bleu: 0.2579
Gen Len: 35.88

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-05
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	14	5.8335	0.2658	16.36
No log	2.0	28	5.6837	0.2579	35.88

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Tokenizers 0.13.3

mohamedtolba/opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2

opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mohamedtolba/
opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-2