biobert-base-cased-v1.2-multiclass-finetuned-PET2

stephenhbarlow/biobert-base-cased-v1.2-multiclass-finetuned-PET2

biobert-base-cased-v1.2-multiclass-finetuned-PET2 is a text classification model from stephenhbarlow. 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: Nov 19, 2022
Updated: Nov 19, 2022
SHA: af3bf1c5

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Model card

From the Hugging Face model README

biobert-base-cased-v1.2-multiclass-finetuned-PET2

This model is a fine-tuned version of dmis-lab/biobert-base-cased-v1.2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8075
Accuracy: 0.5673
F1: 0.4253

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.0175	1.0	14	0.8446	0.5625	0.4149
0.8634	2.0	28	0.8075	0.5673	0.4253

Framework versions

Transformers 4.24.0
Pytorch 1.13.0
Datasets 2.7.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
Created: Nov 19, 2022
Updated: Nov 19, 2022