opus-mt-ar-en-finetunedTanzil-v7-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: 0.1919
• Validation Loss: 0.5047
• Train Rouge1: 49.6877
• Train Rouge2: 25.9574
• Train Rougel: 45.2590
• Train Rougelsum: 45.7464
• Train Gen Len: 85.57
• Epoch: 4

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 Rouge1	Train Rouge2	Train Rougel	Train Rougelsum	Train Gen Len	Epoch
0.1959	0.5105	48.2182	23.4978	44.1127	44.6422	87.45	0
0.1950	0.5114	49.5777	25.1663	45.7183	46.0930	86.72	1
0.1937	0.5074	49.1793	24.1899	45.3374	45.5902	84.805	2
0.1929	0.5075	49.1553	24.8199	44.7342	45.1392	87.495	3
0.1919	0.5047	49.6877	25.9574	45.2590	45.7464	85.57	4

Framework versions

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