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Mental-Health-RoBERTa

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metadata
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 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