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bert-base-boolq – AI Model by Cheng98 | AlphaNeural AI
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Cheng98
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bert-base-boolq
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transformers
pytorch
bert
text-classification
generated_from_trainer
en
glue
google-bert/bert-base-cased
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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bert-base-boolq
This model is a fine-tuned version of
bert-base-cased
on the GLUE BOOLQ dataset. It achieves the following results on the evaluation set:
Loss: 1.1407
Accuracy: 0.7104
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:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.18.0
Tokenizers 0.13.3
