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bert-base-cased-finetuned-squad – AI Model by ss756 | AlphaNeural AI
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ss756
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bert-base-cased-finetuned-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad
apache-2.0
endpoints_compatible
us
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bert-base-cased-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:
Loss: 1.0081
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.0071
1.0
22183
1.0081
Framework versions
Transformers 4.18.0
Pytorch 1.9.0+cu111
Datasets 2.1.0
Tokenizers 0.12.1
