my_new_login1 – AI Model by AIYIYA | AlphaNeural AI

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AIYIYA/
my_new_login1

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text-classification

generated_from_keras_callback

google-bert/bert-base-chinese

autotrain_compatible

endpoints_compatible

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AIYIYA/my_new_login1

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

Train Loss: 0.1897
Validation Loss: 0.2673
Train Accuracy: 0.9143
Epoch: 3

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': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, '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	Train Accuracy	Epoch
0.6310	0.5418	0.8	0
0.4427	0.3487	0.9143	1
0.2980	0.2561	0.9429	2
0.1897	0.2673	0.9143	3

Framework versions

Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0