Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

bert-large-uncased-detect-depression-stage-one-v3 – AI Model by hoanghoavienvo | AlphaNeural AI

You can deploy this model and start earning money today!

hoanghoavienvo/
bert-large-uncased-detect-depression-stage-one-v3

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

bert-large-uncased-detect-depression-stage-one-v3

This model is a fine-tuned version of bert-large-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9678
eval_accuracy: 0.721
eval_f1: 0.7956
eval_runtime: 111.9145
eval_samples_per_second: 8.935
eval_steps_per_second: 2.234
epoch: 3.0
step: 4506

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: 5

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3