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cchs-timebert-visit-uncased-wordlevel-block512-batch8-ep10 – AI Model by hsohn3 | AlphaNeural AI
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hsohn3
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cchs-timebert-visit-uncased-wordlevel-block512-batch8-ep10
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transformers
tf
bert
fill-mask
generated_from_keras_callback
apache-2.0
autotrain_compatible
endpoints_compatible
us
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hsohn3/cchs-timebert-visit-uncased-wordlevel-block512-batch8-ep10
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: 3.0904
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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Epoch
4.3975
0
3.2159
1
3.1468
2
3.1335
3
3.1172
4
3.0967
5
3.0986
6
3.0963
7
3.0888
8
3.0904
9
Framework versions
Transformers 4.20.1
TensorFlow 2.8.2
Datasets 2.3.2
Tokenizers 0.12.1
