khasrul-alam/banglabert-finetuned-squad

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

• Train Loss: 5.8513
• Train End Logits Accuracy: 0.0
• Train Start Logits Accuracy: 0.0
• Validation Loss: 5.8678
• Validation End Logits Accuracy: 0.0
• Validation Start Logits Accuracy: 0.0
• 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': 6, '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
5.9297	0.0	0.0208	5.9075	0.0	0.0	0
5.8513	0.0	0.0	5.8678	0.0	0.0	1

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.6.1
• Tokenizers 0.13.2