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my_dl_2 – AI Model by AIYIYA | AlphaNeural AI
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AIYIYA
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my_dl_2
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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_dl_2
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: 0.2708
Validation Loss: 0.2787
Train Accuracy: 1.0
Epoch: 5
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
0.7163
0.5677
0.6
0
0.5522
0.4402
1.0
1
0.4601
0.3570
1.0
2
0.3585
0.3007
1.0
3
0.2822
0.2787
1.0
4
0.2708
0.2787
1.0
5
Framework versions
Transformers 4.35.0
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1
