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