MaryaAI/opus-mt-ar-en-finetunedQAdata-v1-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: 0.0053
• Validation Loss: 8.2764
• Epoch: 14

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	Epoch
0.0090	12.3530	0
0.0134	11.3018	1
0.0110	10.5958	2
0.0083	9.7381	3
0.0068	8.9434	4
0.0080	12.7723	5
0.0071	11.5191	6
0.0077	10.6246	7
0.0101	10.3368	8
0.0092	8.7824	9
0.0070	7.7344	10
0.0070	8.2180	11
0.0079	7.8572	12
0.0070	9.3053	13
0.0053	8.2764	14

Framework versions

• Transformers 4.19.2
• TensorFlow 2.8.0
• Datasets 2.2.1
• Tokenizers 0.12.1