AnxietyvsN

Phoshco/AnxietyvsN

AnxietyvsN 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: b3f88cee

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Model card

From the Hugging Face model README

AnxietyvsN

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: 1.7110
F1: 0.7250
Roc Auc: 0.7227
Accuracy: 0.725

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
0.5585	1.0	875	0.5816	0.7123	0.7049	0.7123
0.4384	2.0	1750	0.5513	0.7402	0.7395	0.7402
0.2335	3.0	2625	0.8404	0.7224	0.7262	0.7224
0.1009	4.0	3500	1.4763	0.7174	0.7184	0.7174
0.0385	5.0	4375	1.7110	0.7250	0.7227	0.725

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