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jordanfan/
modernBERT_depression

Name: modernBERT_depression
Availability: InStock

generated_from_trainer

jordanfan/modernBERT_suicide_base

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modernBERT_depression

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

Loss: 0.7165
Accuracy: 0.7896
Precision: 0.7903
Recall: 0.7896
F1: 0.7894

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: 2e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.5289	1.0	969	0.4738	0.7903	0.7977	0.7903	0.7874
0.3411	2.0	1938	0.4775	0.7996	0.8023	0.7996	0.7995
0.1693	3.0	2907	0.7165	0.7896	0.7903	0.7896	0.7894

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

jordanfan/modernBERT_depression

modernBERT_depression

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jordanfan/
modernBERT_depression