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bert-finetuned-squad – AI Model by thanat | AlphaNeural AI
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thanat
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bert-finetuned-squad
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transformers
tf
bert
question-answering
generated_from_keras_callback
apache-2.0
endpoints_compatible
us
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thanat/bert-finetuned-squad
This model is a fine-tuned version of
bert-base-cased
on the
squad
dataset. It achieves the following results on the evaluation set:
Train Loss: 0.5695
Epoch: 2
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16
Training results
Train Loss
Epoch
1.2755
0
0.7832
1
0.5695
2
Framework versions
Transformers 4.26.1
TensorFlow 2.9.2
Datasets 2.9.0
Tokenizers 0.13.2
