Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
my_new_inputs – AI Model by AIYIYA | AlphaNeural AI
You can deploy this model and start earning money today!
AIYIYA
/
my_new_inputs
like
0
transformers
tf
bert
text-classification
generated_from_keras_callback
google-bert/bert-base-chinese
finetune
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
AIYIYA/my_new_inputs
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: 2.4582
Validation Loss: 2.5642
Train Accuracy: 0.2812
Epoch: 4
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': 45, '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
2.5554
2.6041
0.2188
0
2.4711
2.5642
0.2812
1
2.4489
2.5642
0.2812
2
2.4357
2.5642
0.2812
3
2.4582
2.5642
0.2812
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.0
Tokenizers 0.15.0
