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twitter-disaster-nlp – AI Model by hkayesh | AlphaNeural AI
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hkayesh
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twitter-disaster-nlp
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transformers
tf
distilbert
text-classification
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
