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bert-base-uncased-finetuned-squad – AI Model by sandeepvarma99 | AlphaNeural AI
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sandeepvarma99
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bert-base-uncased-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-uncased-finetuned-squad
This model is a fine-tuned version of
bert-base-uncased
on the squad dataset. It achieves the following results on the evaluation set:
Loss: 1.0049
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: 3e-05
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
1.041
1.0
7377
0.9949
0.7002
2.0
14754
1.0049
Framework versions
Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
