korttextbert – AI Model by kevinbror | AlphaNeural AI

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kevinbror/
korttextbert

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korttextbert

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: 0.7501
Train End Logits Accuracy: 0.7864
Train Start Logits Accuracy: 0.7557
Validation Loss: 1.0797
Validation End Logits Accuracy: 0.7166
Validation Start Logits Accuracy: 0.6912
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': 11529, '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
1.4538	0.6209	0.5897	1.1081	0.6964	0.6739	0
0.9285	0.7425	0.7106	1.0454	0.7147	0.6917	1
0.7501	0.7864	0.7557	1.0797	0.7166	0.6912	2

Framework versions

Transformers 4.20.1
TensorFlow 2.6.4
Datasets 2.1.0
Tokenizers 0.12.1