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

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spamfighters/
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: 0.0141
Accuracy: 0.9963
F1: 0.9963

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: 512
eval_batch_size: 512
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
0.0235	1.0	572	0.0152	0.9956	0.9956
0.0081	2.0	1144	0.0141	0.9963	0.9963

Framework versions

Transformers 4.51.0
Pytorch 2.4.1
Datasets 3.5.0
Tokenizers 0.21.1