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chinese-sentiment-model – AI Model by linxiaoming | AlphaNeural AI
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linxiaoming
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chinese-sentiment-model
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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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linxiaoming/chinese-sentiment-model
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: 0.6844
Train Accuracy: 0.8000
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': '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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Train Accuracy
Epoch
0.6844
0.8000
0
Framework versions
Transformers 4.44.2
TensorFlow 2.17.0
Tokenizers 0.19.1
