en-it-model

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

• Train Loss: 0.1962
• Train Acc: 0.4204
• Validation Loss: 0.2883
• Validation Acc: 0.4046
• 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
0.3407	0.4068	0.2950	0.4038	0
0.2827	0.4128	0.2846	0.4052	1
0.2563	0.4147	0.2787	0.4054	2
0.2389	0.4166	0.2777	0.4056	3
0.2262	0.4185	0.2800	0.4051	4
0.2161	0.4186	0.2817	0.4049	5
0.2082	0.4199	0.2829	0.4051	6
0.2014	0.4213	0.2860	0.4047	7
0.1962	0.4204	0.2883	0.4046	8

Framework versions

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