--- library_name: transformers license: mit base_model: FacebookAI/roberta-base tags: - generated_from_trainer metrics: - f1 model-index: - name: Mental-Health-RoBERTa results: [] --- # Mental-Health-RoBERTa This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/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