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pretrained-bert – AI Model by nalas | AlphaNeural AI
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nalas
/
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: 6.6263
Validation Loss: 6.7999
Epoch: 1
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': True, '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
Validation Loss
Epoch
6.6402
6.8063
0
6.6263
6.7999
1
Framework versions
Transformers 4.27.0.dev0
TensorFlow 2.11.0
Datasets 2.9.0
Tokenizers 0.13.2
