roberta-base-finetuned-depression

welsachy/roberta-base-finetuned-depression

roberta-base-finetuned-depression is a text classification model from welsachy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: roberta
Access: Public
Created: Jun 22, 2024
Updated: Jun 22, 2024
SHA: 38f1b25c

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Base models

Model card

From the Hugging Face model README

roberta-base-finetuned-depression

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

Loss: 0.7662
Precision: 0.8912
Recall: 0.9136
F1: 0.9018
Accuracy: 0.9104

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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	469	0.5219	0.8220	0.7921	0.8000	0.8603
0.602	2.0	938	0.6344	0.9039	0.8257	0.8538	0.8753
0.3573	3.0	1407	0.4821	0.8818	0.8902	0.8859	0.8870
0.2511	4.0	1876	0.6265	0.8511	0.8965	0.8676	0.8934
0.1614	5.0	2345	0.5439	0.8908	0.8992	0.8919	0.9041
0.1107	6.0	2814	0.6237	0.8838	0.8990	0.8886	0.9009
0.0756	7.0	3283	0.6915	0.8930	0.9062	0.8988	0.9083
0.057	8.0	3752	0.6572	0.8736	0.9107	0.8905	0.9062
0.0664	9.0	4221	0.8022	0.8692	0.8987	0.8804	0.8977
0.0392	10.0	4690	0.7953	0.8931	0.8847	0.8844	0.8977
0.0472	11.0	5159	0.7757	0.8951	0.8886	0.8885	0.8998
0.0375	12.0	5628	0.7821	0.8881	0.9029	0.8939	0.9072
0.0292	13.0	6097	0.8124	0.8793	0.8982	0.8870	0.9009
0.0373	14.0	6566	0.9106	0.8774	0.8818	0.8735	0.8934
0.0227	15.0	7035	0.8325	0.8876	0.8855	0.8825	0.8966
0.0249	16.0	7504	0.7662	0.8912	0.9136	0.9018	0.9104
0.0249	17.0	7973	0.8383	0.8804	0.8905	0.8833	0.8955
0.0245	18.0	8442	0.8073	0.8844	0.9000	0.8907	0.9030
0.0188	19.0	8911	0.8137	0.8850	0.9012	0.8917	0.9041
0.0203	20.0	9380	0.8234	0.8850	0.8993	0.8905	0.9030

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: roberta
License: mit
Created: Jun 22, 2024
Updated: Jun 22, 2024