mental-roberta-base-finetuned-depression

welsachy/mental-roberta-base-finetuned-depression

mental-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 cc-by-nc-4.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: cc-by-nc-4.0
Model type: roberta
Access: Public
Created: Jun 23, 2024
Updated: Jun 23, 2024
SHA: b1b38bb7

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Base models

mental/mental-roberta-base

Model card

From the Hugging Face model README

mental-roberta-base-finetuned-depression

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

Loss: 0.6567
Precision: 0.8863
Recall: 0.9168
F1: 0.8996
Accuracy: 0.9115

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	0.3852	0.7878	0.8253	0.7958	0.8667
0.5249	2.0	938	0.4720	0.8778	0.8722	0.8662	0.8913
0.2598	3.0	1407	0.5459	0.8975	0.8791	0.8865	0.8977
0.1624	4.0	1876	0.5022	0.9004	0.8979	0.8976	0.9072
0.1036	5.0	2345	0.6257	0.8910	0.8968	0.8931	0.9009
0.0668	6.0	2814	0.6531	0.9145	0.8927	0.9026	0.9104
0.0539	7.0	3283	0.6209	0.8552	0.9115	0.8802	0.8945
0.057	8.0	3752	0.6567	0.8863	0.9168	0.8996	0.9115
0.0523	9.0	4221	0.7184	0.9067	0.8984	0.8993	0.9083
0.0354	10.0	4690	0.7112	0.8874	0.9014	0.8914	0.9072
0.0268	11.0	5159	0.7168	0.8996	0.9012	0.8979	0.9083
0.0297	12.0	5628	0.7499	0.8667	0.9096	0.8847	0.9030
0.0242	13.0	6097	0.7554	0.8946	0.9014	0.8955	0.9072
0.0238	14.0	6566	0.7990	0.8909	0.9014	0.8934	0.9072
0.0178	15.0	7035	0.8298	0.8965	0.8933	0.8925	0.9051
0.0226	16.0	7504	0.8428	0.9099	0.8890	0.8973	0.9062
0.0226	17.0	7973	0.8490	0.8742	0.8983	0.8816	0.9041
0.0183	18.0	8442	0.8148	0.8940	0.8965	0.8930	0.9072
0.0188	19.0	8911	0.8146	0.8927	0.8960	0.8921	0.9062
0.015	20.0	9380	0.8216	0.8927	0.8960	0.8921	0.9062

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: cc-by-nc-4.0
Created: Jun 23, 2024
Updated: Jun 23, 2024