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my_wr2 – AI Model by AIYIYA | AlphaNeural AI
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AIYIYA
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my_wr2
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transformers
tf
bert
text-classification
generated_from_keras_callback
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
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AIYIYA/my_wr2
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: 2.1208
Validation Loss: 2.1831
Train Accuracy: 0.4737
Epoch: 6
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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 30, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
2.8776
2.6967
0.0526
0
2.5610
2.4772
0.3158
1
2.4059
2.3114
0.4474
2
2.2749
2.2041
0.4474
3
2.1581
2.1831
0.4737
4
2.1664
2.1831
0.4737
5
2.1208
2.1831
0.4737
6
Framework versions
Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.4
Tokenizers 0.13.3
