bert-base-finetuned-ynat

yooonsangbeom/bert-base-finetuned-ynat

bert-base-finetuned-ynat is a text classification model from yooonsangbeom. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-sa-4.0
Model type: bert
Access: Public
Created: Jul 25, 2023
Updated: Oct 26, 2023
SHA: ade47a1e

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Base models

klue/bert-base

Datasets

klue

Model card

From the Hugging Face model README

bert-base-finetuned-ynat

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: 0.3691
Accuracy: 0.8659

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: 512
eval_batch_size: 512
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	90	0.4090	0.8599
No log	2.0	180	0.3929	0.8578
No log	3.0	270	0.3703	0.8648
No log	4.0	360	0.3714	0.8631
No log	5.0	450	0.3691	0.8659

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: bert
License: cc-by-sa-4.0
Created: Jul 25, 2023
Updated: Oct 26, 2023