es-en-model

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

• Train Loss: 0.2348
• Train Acc: 0.3632
• Validation Loss: 0.4936
• Validation Acc: 0.3406
• Epoch: 6

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	Train Acc	Validation Loss	Validation Acc	Epoch
0.5028	0.3416	0.4575	0.3401	0
0.4209	0.3483	0.4518	0.3409	1
0.3689	0.3519	0.4544	0.3410	2
0.3269	0.3535	0.4618	0.3410	3
0.2914	0.3579	0.4712	0.3412	4
0.2611	0.3598	0.4824	0.3411	5
0.2348	0.3632	0.4936	0.3406	6

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.2