HASAN55/ROBERTA_SQUAD_TST

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: 0.4088
• Train End Logits Accuracy: 0.8767
• Train Start Logits Accuracy: 0.8390
• Validation Loss: 0.9127
• Validation End Logits Accuracy: 0.7771
• Validation Start Logits Accuracy: 0.7501
• Epoch: 3

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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 24804, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Train End Logits Accuracy	Train Start Logits Accuracy	Validation Loss	Validation End Logits Accuracy	Validation Start Logits Accuracy	Epoch
1.0168	0.7301	0.6920	0.8404	0.7696	0.7424	0
0.6780	0.8069	0.7677	0.8173	0.7698	0.7480	1
0.5150	0.8473	0.8093	0.8527	0.7764	0.7470	2
0.4088	0.8767	0.8390	0.9127	0.7771	0.7501	3

Framework versions

• Transformers 4.29.2
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3