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biomed_bert_squadv2 – AI Model by trevorkwan | AlphaNeural AI

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trevorkwan/
biomed_bert_squadv2

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question-answering

generated_from_trainer

microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext

endpoints_compatible

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biomed_bert_squadv2

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on the squad_v2 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: 3e-05
train_batch_size: 12
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.48.0.dev0
Pytorch 2.0.1+cu117
Datasets 3.0.1
Tokenizers 0.21.0