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: 0.0144
- Accuracy: 0.9962
- F1: 0.9962
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 |
|---|---|---|---|---|---|
| 0.022 | 1.0 | 572 | 0.0149 | 0.9957 | 0.9956 |
| 0.0075 | 2.0 | 1144 | 0.0144 | 0.9962 | 0.9962 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.4.1
- Datasets 3.5.0
- Tokenizers 0.21.1