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capstone-bert-qa – AI Model by Shruthi-S | AlphaNeural AI
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Shruthi-S
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capstone-bert-qa
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transformers
tf
bert
question-answering
generated_from_keras_callback
google-bert/bert-base-cased
finetune
apache-2.0
endpoints_compatible
us
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capstone-bert-qa
This model is a fine-tuned version of
bert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 5.9547
Validation Loss: 5.9507
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': 0.001, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
5.9547
5.9507
0
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.17.0
Tokenizers 0.15.1
