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pretrained-bert-math – AI Model by MathGpn | AlphaNeural AI
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MathGpn
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pretrained-bert-math
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transformers
tf
bert
pretraining
generated_from_keras_callback
endpoints_compatible
us
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pretrained-bert-math
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 8.2968
Validation Loss: 8.4666
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', '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
8.2968
8.4666
0
Framework versions
Transformers 4.30.0.dev0
TensorFlow 2.12.0
Datasets 2.12.0
Tokenizers 0.13.3
