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qthang-finetuned-2 – AI Model by ThangDinh | AlphaNeural AI

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ThangDinh/
qthang-finetuned-2

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question-answering

generated_from_trainer

covid_qa_deepset

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

endpoints_compatible

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qthang-finetuned-2

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the covid_qa_deepset 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: 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: 2

Training results

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1