Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-large-depression-classification-v2 – AI Model by Trong-Nghia | AlphaNeural AI
You can deploy this model and start earning money today!
Trong-Nghia
/
roberta-large-depression-classification-v2
like
0
transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
roberta-large-depression-classification-v2
This model is a fine-tuned version of
roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.2328
Accuracy: 0.5435
F1 Score: 0.5316
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: 5e-06
train_batch_size: 4
eval_batch_size: 4
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
Accuracy
F1 Score
0.9778
1.0
677
1.2323
0.5380
0.5275
0.6377
2.0
1354
2.0223
0.5315
0.5125
0.5285
3.0
2031
2.2328
0.5435
0.5316
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
