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comchoice – AI Model by abbassix | AlphaNeural AI
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abbassix
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comchoice
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transformers
tf
bert
fill-mask
generated_from_keras_callback
google-bert/bert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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comchoice
This model is a fine-tuned version of
bert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0005
Epoch: 9
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': 1e-04, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Epoch
0.1529
0
0.0331
1
0.0078
2
0.0074
3
0.0035
4
0.0017
5
0.0011
6
0.0007
7
0.0004
8
0.0005
9
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Tokenizers 0.15.0
