Capstone-project-bert-qa

This model is a fine-tuned version of bert-base-cased model on the squad dataset. It achieves the following results on the evaluation set:

• Train Loss: 1.4990
• Validation Loss: 1.1426
• Epoch: 10

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': 'Adam', 'config': {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
• training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.4990	1.1426	0

Framework versions

• Transformers 4.28.0.dev0
• TensorFlow 2.12.0
• Datasets 2.11.0
• Tokenizers 0.13.2