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

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	214	0.6204	0.6632
No log	2.0	428	0.6622	0.7158
0.5244	3.0	642	0.7312	0.6684
0.5244	4.0	856	0.9711	0.7105
0.2876	5.0	1070	1.1620	0.7

Framework versions

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