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MedicalQuestionAnswering – AI Model by GonzaloValdenebro | AlphaNeural AI
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GonzaloValdenebro
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MedicalQuestionAnswering
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transformers
pytorch
safetensors
bert
question-answering
generated_from_trainer
Intel/dynamic_tinybert
finetune
apache-2.0
endpoints_compatible
us
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Model card
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MedicalQuestionAnswering
This model is a fine-tuned version of
Intel/dynamic_tinybert
on the
Medical Question Asnwering Dataset
.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Framework versions
Transformers 4.33.1
Pytorch 2.1.0
Datasets 2.14.5
Tokenizers 0.13.3
