BERTForDetectingDepression-Twitter2015

Silicon23/BERTForDetectingDepression-Twitter2015

BERTForDetectingDepression-Twitter2015 is a text classification model from Silicon23. 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: Jul 31, 2024
Updated: Aug 2, 2024
SHA: d90002b5

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Base models

google-bert/bert-base-uncased

Model card

From the Hugging Face model README

BERTForDetectingDepression-Twitter2015

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

Loss: 0.2785
Accuracy: 0.9214

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: 7.022911988641232e-05
train_batch_size: 16
eval_batch_size: 16
seed: 15
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3365	1.0	917	0.2187	0.9128
0.1213	2.0	1834	0.2785	0.9214

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jul 31, 2024
Updated: Aug 2, 2024