bert-base-uncased-finetuned-filtered-0608_test

YeRyeongLee/bert-base-uncased-finetuned-filtered-0608_test

bert-base-uncased-finetuned-filtered-0608_test is a text classification model from YeRyeongLee. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 8, 2022
Updated: Jun 8, 2022
SHA: f0459b0e

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Model card

From the Hugging Face model README

bert-base-uncased-finetuned-filtered-0608_test

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

Loss: 0.1009
Accuracy: 0.9777
Precision: 0.9778
Recall: 0.9777
F1: 0.9777

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
lr_scheduler_warmup_steps: 1000
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.1184	1.0	3180	0.1009	0.9777	0.9778	0.9777	0.9777

Framework versions

Transformers 4.19.2
Pytorch 1.9.1+cu111
Datasets 1.16.1
Tokenizers 0.12.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 8, 2022
Updated: Jun 8, 2022