hkayesh/twitter-disaster-nlp

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: 0.2529
• Train Accuracy: 0.9074
• Validation Loss: 0.4153
• Validation Accuracy: 0.8425
• 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1284, '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 Accuracy	Validation Loss	Validation Accuracy	Epoch
0.4349	0.8150	0.3635	0.8635	0
0.3233	0.8716	0.3878	0.8360	1
0.2529	0.9074	0.4153	0.8425	2

Framework versions

• Transformers 4.17.0
• TensorFlow 2.6.3
• Datasets 2.1.0
• Tokenizers 0.11.6