opus-mt-ar-en-finetunedTanzil-v5-ar-to-en – AI Model by MaryaAI | AlphaNeural AI

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MaryaAI/
opus-mt-ar-en-finetunedTanzil-v5-ar-to-en

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text2text-generation

generated_from_keras_callback

endpoints_compatible

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opus-mt-ar-en-finetunedTanzil-v5-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:

Train Loss: 0.8101
Validation Loss: 0.9477
Train Bleu: 9.3241
Train Gen Len: 88.73
Train Rouge1: 56.4906
Train Rouge2: 34.2668
Train Rougel: 53.2279
Train Rougelsum: 53.7836
Epoch: 2

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Bleu	Train Gen Len	Train Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Epoch
0.8735	0.9809	11.0863	78.68	56.4557	33.3673	53.4828	54.1197	0
0.8408	0.9647	9.8543	88.955	57.3797	34.3539	53.8783	54.3714	1
0.8101	0.9477	9.3241	88.73	56.4906	34.2668	53.2279	53.7836	2

Framework versions

Transformers 4.17.0.dev0
TensorFlow 2.7.0
Datasets 1.18.4.dev0
Tokenizers 0.10.3