bert-base-italian-uncased-squad-it-longer-answer

This model is a fine-tuned version of antoniocappiello/bert-base-italian-uncased-squad-it on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.3648
• Train End Logits Accuracy: 0.9135
• Train Start Logits Accuracy: 0.8561
• Validation Loss: 0.4671
• Validation End Logits Accuracy: 0.8875
• Validation Start Logits Accuracy: 0.8287
• Epoch: 1

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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1718, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
0.6341	0.8448	0.7713	0.4587	0.8846	0.8258	0
0.3648	0.9135	0.8561	0.4671	0.8875	0.8287	1

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Datasets 2.8.0
• Tokenizers 0.13.2