Mental-Health-RoBERTa
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
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Base model
FacebookAI/roberta-base