biobert-base-cased-v1.1-finetuned-pubmedqa

blizrys/biobert-base-cased-v1.1-finetuned-pubmedqa

biobert-base-cased-v1.1-finetuned-pubmedqa is a text classification model from blizrys. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: bert
Access: Public
Created: Mar 2, 2022
Updated: Sep 12, 2021
SHA: 7e208b19

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Model card

From the Hugging Face model README

biobert-base-cased-v1.1-finetuned-pubmedqa

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

Loss: 2.3182
Accuracy: 0.5

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: 5e-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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	57	0.8591	0.58
No log	2.0	114	0.9120	0.58
No log	3.0	171	0.8159	0.62
No log	4.0	228	1.1651	0.54
No log	5.0	285	1.2350	0.6
No log	6.0	342	1.5563	0.68
No log	7.0	399	2.0233	0.58
No log	8.0	456	2.2054	0.5
0.4463	9.0	513	2.2434	0.5
0.4463	10.0	570	2.3182	0.5

Framework versions

Transformers 4.10.2
Pytorch 1.9.0+cu102
Datasets 1.11.0
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: bert
Created: Mar 2, 2022
Updated: Sep 12, 2021