distilroberta-base-finetuned-suicide-depression

This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6622
• Accuracy: 0.7158

Model description

Just a POC of a Transformer fine-tuned on SDCNL dataset for suicide (label 1) or depression (label 0) detection in tweets. DO NOT use it in production

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: 5

Training results

Framework versions

• Transformers 4.11.3
• Pytorch 1.9.0+cu111
• Datasets 1.13.0
• Tokenizers 0.10.3