nandysoham/17-clustered

This model is a fine-tuned version of Rocketknight1/distilbert-base-uncased-finetuned-squad on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.6757
• Train End Logits Accuracy: 0.8011
• Train Start Logits Accuracy: 0.7783
• Validation Loss: 0.9495
• Validation End Logits Accuracy: 0.7463
• Validation Start Logits Accuracy: 0.7164
• 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': 340, '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
1.0004	0.7276	0.6831	0.9259	0.7537	0.7194	0
0.6757	0.8011	0.7783	0.9495	0.7463	0.7164	1

Framework versions

• Transformers 4.26.0
• TensorFlow 2.9.2
• Datasets 2.9.0
• Tokenizers 0.13.2