it-en-model

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

• Train Loss: 0.0762
• Train Acc: 0.4615
• Validation Loss: 0.1674
• Validation Acc: 0.4489
• Epoch: 8

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
0.2335	0.4419	0.1955	0.4417	0
0.1760	0.4484	0.1788	0.4441	1
0.1466	0.4519	0.1715	0.4456	2
0.1263	0.4546	0.1666	0.4466	3
0.1109	0.4564	0.1645	0.4473	4
0.0992	0.4589	0.1639	0.4478	5
0.0898	0.4605	0.1658	0.4485	6
0.0824	0.4610	0.1657	0.4488	7
0.0762	0.4615	0.1674	0.4489	8

Framework versions

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