metadata

library_name: transformers
license: apache-2.0
base_model: deepvk/RuModernBERT-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: modernbert-spam-classifier
    results: []

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: 0.9966
F1: 0.9966

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
0.0244	1.0	715	0.0143	0.9959	0.9959
0.0068	2.0	1430	0.0141	0.9966	0.9966

Framework versions

Transformers 4.53.0
Pytorch 2.7.1+cu126
Datasets 3.6.0
Tokenizers 0.21.2