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pretrained-bert-example – AI Model by vigorsczb | AlphaNeural AI
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vigorsczb
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pretrained-bert-example
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transformers
tf
bert
pretraining
generated_from_keras_callback
endpoints_compatible
us
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pretrained-bert-example
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.5696
Validation Loss: 9.4093
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', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
8.5696
9.4093
0
Framework versions
Transformers 4.24.0
TensorFlow 2.9.1
Datasets 2.4.0
Tokenizers 0.11.0
