opus-mt-ar-en-finetuned_augmented_backMT_cleaned-ar-to-en – AI Model by Jezia | AlphaNeural AI

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Jezia/
opus-mt-ar-en-finetuned_augmented_backMT_cleaned-ar-to-en

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text2text-generation

generated_from_trainer

Helsinki-NLP/opus-mt-ar-en

endpoints_compatible

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opus-mt-ar-en-finetuned_augmented_backMT_cleaned-ar-to-en

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

Loss: 1.1873
Bleu: 54.6502
Gen Len: 34.938

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
1.5555	1.0	1035	1.3848	45.7987	36.194
1.2715	2.0	2070	1.2807	49.7556	35.83
1.1156	3.0	3105	1.2299	51.7879	35.469
1.0079	4.0	4140	1.2140	52.4265	35.021
0.9166	5.0	5175	1.1957	53.4598	35.017
0.859	6.0	6210	1.1920	54.1821	35.077
0.8268	7.0	7245	1.1891	54.419	35.022
0.7777	8.0	8280	1.1863	54.4714	34.907
0.7522	9.0	9315	1.1867	54.537	34.906
0.7441	10.0	10350	1.1873	54.6502	34.938

Framework versions

Transformers 4.32.1
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3