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rubert-tiny2-kinopoisk
Glepka/rubert-tiny2-kinopoisk
rubert-tiny2-kinopoisk is a text classification model from Glepka. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 1d25f3d3
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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-tiny2-kinopoisk
This model is a fine-tuned version of cointegrated/rubert-tiny2 on Glepka/kinopoisk_classification. It achieves the following results on the evaluation set:
- Loss: 0.7214
- Accuracy: 0.738
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: 64
- eval_batch_size: 64
- 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
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7896 | 1.0 | 891 | 0.5692 | 0.7367 |
| 0.5548 | 2.0 | 1782 | 0.5882 | 0.734 |
| 0.5207 | 3.0 | 2673 | 0.5731 | 0.7467 |
| 0.4806 | 4.0 | 3564 | 0.5806 | 0.7487 |
| 0.4615 | 5.0 | 4455 | 0.6030 | 0.746 |
| 0.4206 | 6.0 | 5346 | 0.6197 | 0.7453 |
| 0.3913 | 7.0 | 6237 | 0.6427 | 0.7413 |
| 0.3678 | 8.0 | 7128 | 0.6605 | 0.7413 |
| 0.3392 | 9.0 | 8019 | 0.6922 | 0.7367 |
| 0.3299 | 10.0 | 8910 | 0.7000 | 0.738 |
| 0.3125 | 11.0 | 9801 | 0.7139 | 0.736 |
| 0.308 | 12.0 | 10692 | 0.7214 | 0.738 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- ru
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025