metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
widget:
  - text: >-
      It's in the back of my mind. I'm not sure I'll be ok. Not sure I can deal
      with this. I'll try...I will try. Even though it's hard to see the point.
      But...this still isn't off the table.
model-index:
  - name: distilroberta-base-finetuned-suicide-depression
    results: []

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