finetuned-bert

sitthichokpaugchan/finetuned-bert

finetuned-bert is a text classification model from sitthichokpaugchan. 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 29, 2023
Updated: Dec 13, 2023
SHA: 5cc96bb1

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Base models

Datasets

glue

Model card

From the Hugging Face model README

finetuned-bert

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

Loss: 0.4431
Accuracy: 0.8627
F1: 0.9038

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5331	1.0	230	0.3900	0.8333	0.8870
0.2878	2.0	460	0.3675	0.8505	0.8935
0.1395	3.0	690	0.4431	0.8627	0.9038

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: May 29, 2023
Updated: Dec 13, 2023