school_model – AI Model by riftz112 | AlphaNeural AI

You can deploy this model and start earning money today!

riftz112/
school_model

like

0

question-answering

generated_from_keras_callback

google-bert/bert-base-cased

endpoints_compatible

Views

No views yet

riftz112/school_model

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

Train Loss: 4.1874
Validation Loss: 4.0652
Epoch: 9

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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 66, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
5.1114	4.3701	0
4.3325	4.0652	1
4.1721	4.0652	2
4.1802	4.0652	3
4.1787	4.0652	4
4.1819	4.0652	5
4.1785	4.0652	6
4.1795	4.0652	7
4.1803	4.0652	8
4.1874	4.0652	9

Framework versions

Transformers 4.41.2
TensorFlow 2.15.0
Datasets 2.20.0
Tokenizers 0.19.1