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Joshua-Segal/
assistant

Name: assistant
Availability: InStock

transformers

distilbert

text-classification

generated_from_keras_callback

distilbert/distilbert-base-uncased

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Joshua-Segal/assistant

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

Train Loss: 0.2074
Validation Loss: 0.1618
Train Accuracy: 0.9603
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': 155, '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	Validation Loss	Train Accuracy	Epoch
0.8747	0.5316	0.9206	0
0.4035	0.2269	0.9603	1
0.2074	0.1618	0.9603	2

Framework versions

Transformers 4.32.1
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.2