| --- |
| library_name: transformers |
| base_model: DeepPavlov/rubert-base-cased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: rubert_level1 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # rubert_level1 |
| |
| This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0971 |
| - F1 Micro: 0.9515 |
| - F1 Macro: 0.9504 |
| - F1 Weighted: 0.9515 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | F1 Weighted | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:| |
| | 0.1529 | 1.0 | 292 | 0.1426 | 0.9243 | 0.9222 | 0.9244 | |
| | 0.0557 | 2.0 | 584 | 0.1171 | 0.9354 | 0.9346 | 0.9363 | |
| | 0.0414 | 3.0 | 876 | 0.1106 | 0.9403 | 0.9393 | 0.9406 | |
| | 0.0288 | 4.0 | 1168 | 0.1015 | 0.9495 | 0.9485 | 0.9495 | |
| | 0.0154 | 5.0 | 1460 | 0.0971 | 0.9515 | 0.9504 | 0.9515 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.1 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
