bert-base-uncased-finetuned-0505-2

YeRyeongLee/bert-base-uncased-finetuned-0505-2

bert-base-uncased-finetuned-0505-2 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: May 5, 2022
Updated: May 5, 2022
SHA: 8d3a0c17

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Model card

From the Hugging Face model README

bert-base-uncased-finetuned-0505-2

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: 0.4277
Accuracy: 0.9206
F1: 0.9205

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: 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: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	1373	0.3634	0.9025	0.9012
No log	2.0	2746	0.3648	0.9066	0.9060
No log	3.0	4119	0.3978	0.9189	0.9183
No log	4.0	5492	0.4277	0.9206	0.9205

Framework versions

Transformers 4.11.3
Pytorch 1.9.0
Datasets 1.16.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 5, 2022
Updated: May 5, 2022