bert-base-finetuned-sts

eliza-dukim/bert-base-finetuned-sts

bert-base-finetuned-sts is a text classification model from eliza-dukim. 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 22, 2021
SHA: d77333cf

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Datasets

klue

Model card

From the Hugging Face model README

bert-base-finetuned-sts

This model is a fine-tuned version of klue/bert-base on the klue dataset. It achieves the following results on the evaluation set:

Loss: 0.4115
Pearsonr: 0.8756
F1: 0.8417

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: 32
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Pearsonr	F1
0.7836	1.0	365	0.5507	0.8435	0.8121
0.1564	2.0	730	0.4396	0.8495	0.8136
0.0989	3.0	1095	0.4115	0.8756	0.8417
0.0682	4.0	1460	0.4466	0.8746	0.8449

Framework versions

Transformers 4.10.2
Pytorch 1.7.1
Datasets 1.12.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: bert
Created: Mar 2, 2022
Updated: Sep 22, 2021