You can deploy this model and start earning money today!

Nicknotname/
Project_Nigel_Slot_Filling

Name: Project_Nigel_Slot_Filling
Rating: 2.5 (5 reviews)

transformers

distilbert

token-classification

generated_from_keras_callback

distilbert/distilbert-base-uncased

Views

No views yet

Nicknotname/Project_Nigel_Slot_Filling

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: 0.2400
Validation Loss: 0.0043
Train Precision: 1.0
Train Recall: 1.0
Train F1: 1.0
Train Accuracy: 1.0
Epoch: 0

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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 408, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32

Training results

Train Loss	Validation Loss	Train Precision	Train Recall	Train F1	Train Accuracy	Epoch
0.2400	0.0043	1.0	1.0	1.0	1.0	0

Framework versions

Transformers 4.45.0
TensorFlow 2.17.0
Datasets 3.0.1
Tokenizers 0.20.0