modernbert-spam-classifier – AI Model by ivanbalaksha | AlphaNeural AI

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ivanbalaksha/
modernbert-spam-classifier

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text-classification

generated_from_trainer

deepvk/RuModernBERT-base

autotrain_compatible

endpoints_compatible

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modernbert-spam-classifier

This model is a fine-tuned version of deepvk/RuModernBERT-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0236
Accuracy: 0.9933
F1: 0.9932

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: 750
eval_batch_size: 750
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.0408	1.0	514	0.0242	0.9929	0.9929
0.0243	2.0	1028	0.0236	0.9933	0.9932

Framework versions

Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2