VinayakMane47/roberta-base-duplicate-Q-A

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.1604
• Train Accuracy: 0.9356
• Validation Loss: 0.2295
• Validation Accuracy: 0.9117
• Epoch: 2

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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 15159, '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, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.2942	0.8692	0.2387	0.8992	0
0.2091	0.9133	0.2299	0.9062	1
0.1604	0.9356	0.2295	0.9117	2

Framework versions

• Transformers 4.28.1
• TensorFlow 2.11.0
• Datasets 2.1.0
• Tokenizers 0.13.3