This model is a fine-tuned version of FacebookAI/roberta-base on an Mental Health Issues detection dataset. It achieves the following results on the evaluation set:

Loss: 0.3713
F1: 0.8578
Acc: 0.8573

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Acc
0.5312	1.0	1255	0.4397	0.8295	0.8287
0.3378	2.0	2510	0.3662	0.8535	0.8534
0.262	3.0	3765	0.3713	0.8578	0.8573

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

Labels

'Normal':0,'Depression':1,'Suicidal':2,'Anxiety':3,'Bipolar':4,'Stress':5,'Personality disorder':6

Sharpaxis/Mental-Health-RoBERTa

Mental-Health-RoBERTa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Labels

Sharpaxis/
Mental-Health-RoBERTa