bipolarvsN

Phoshco/bipolarvsN

bipolarvsN is a text classification model from Phoshco. 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: Apr 10, 2023
Updated: Apr 10, 2023
SHA: d250d0ce

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Model card

From the Hugging Face model README

bipolarvsN

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7437
F1: 0.7833
Roc Auc: 0.7818
Accuracy: 0.7833

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.5251	1.0	875	0.5404	0.736	0.7299	0.736
0.4396	2.0	1750	0.4694	0.7974	0.7966	0.7974
0.373	3.0	2625	0.5041	0.797	0.7963	0.797
0.2828	4.0	3500	0.6178	0.7939	0.7931	0.7939
0.2147	5.0	4375	0.7437	0.7833	0.7818	0.7833

Framework versions

Transformers 4.27.3
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 10, 2023
Updated: Apr 10, 2023