biobert-v1.1-finetuned-pubmedqa-adapter

blizrys/biobert-v1.1-finetuned-pubmedqa-adapter

biobert-v1.1-finetuned-pubmedqa-adapter is a machine learning model from blizrys. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

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Public

Updated Sep 13, 2021

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36.2 MB

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Hugging Face

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At a glance

Access: Public
Created: Mar 2, 2022
Updated: Sep 13, 2021
SHA: 83e3d709

Model card

From the Hugging Face model README

biobert-v1.1-finetuned-pubmedqa-adapter

This model is a fine-tuned version of dmis-lab/biobert-v1.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0910
Accuracy: 0.48

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: 0.003
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	0.9848	0.58
No log	2.0	114	0.8537	0.58
No log	3.0	171	0.9565	0.42
No log	4.0	228	0.9659	0.56
No log	5.0	285	0.9763	0.6
No log	6.0	342	1.0647	0.66
No log	7.0	399	1.4305	0.6
No log	8.0	456	2.0545	0.56
0.6957	9.0	513	2.2438	0.5
0.6957	10.0	570	2.0910	0.48

Framework versions

Transformers 4.8.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3

Created: Mar 2, 2022
Updated: Sep 13, 2021