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bert-base-cased-squad2-finetuned-emrqa-msquad – AI Model by Eladio | AlphaNeural AI
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Eladio
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bert-base-cased-squad2-finetuned-emrqa-msquad
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
en
Eladio/emrqa-msquad
deepset/bert-base-cased-squad2
finetune
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 medical dataset
Eladio/emrqa-msquad
. It achieves the following results on the evaluation set:
Loss: 0.0217
Model description
deepset/bert-base-cased-squad2
on medical dataset
Eladio/emrqa-msquad
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
0.1755
1.0
17354
0.1014
0.0599
2.0
34708
0.0344
0.0278
3.0
52062
0.0217
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
