metadata
library_name: transformers
base_model: Tochka-AI/ruRoPEBert-classic-base-2k
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: toxic_generation_classifier
results: []
toxic_generation_classifier
This model is a fine-tuned version of Tochka-AI/ruRoPEBert-classic-base-2k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1611
- Accuracy: 0.9536
- F1: 0.9537
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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 1.0 | 149 | 0.1758 | 0.9460 | 0.9457 |
No log | 2.0 | 298 | 0.1611 | 0.9536 | 0.9537 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1