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bert-base-cased-squad2-finetuned-squad – AI Model by chocolatehog | AlphaNeural AI
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chocolatehog
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bert-base-cased-squad2-finetuned-squad
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transformers
pytorch
tensorboard
bert
question-answering
generated_from_trainer
squad_v2
cc-by-4.0
endpoints_compatible
us
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bert-base-cased-squad2-finetuned-squad
This model is a fine-tuned version of
deepset/bert-base-cased-squad2
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 1.9269
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.5591
1.0
8255
1.3180
0.3712
2.0
16510
1.5934
0.2472
3.0
24765
1.9269
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
