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pretrained-bert – AI Model by eyadpy | AlphaNeural AI
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eyadpy
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pretrained-bert
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transformers
tf
bert
pretraining
generated_from_keras_callback
endpoints_compatible
us
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pretrained-bert
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.4376
Validation Loss: 8.8753
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
8.4376
8.8753
0
Framework versions
Transformers 4.26.0.dev0
TensorFlow 2.9.2
Datasets 2.8.0
Tokenizers 0.13.2
