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polish-roberta-large-v2-danger
julasms/polish-roberta-large-v2-danger
polish-roberta-large-v2-danger is a text classification model from julasms. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 3, 2025
- Updated
- Nov 3, 2025
- SHA
- fef748ca
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Base models
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. -->
polish-roberta-large-v2-danger
This model is a fine-tuned version of sdadas/polish-roberta-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4422
- Accuracy: 0.78
- Auc: 0.878
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.4101 | 1.0 | 25 | 0.5047 | 0.69 | 0.83 |
| 0.3493 | 2.0 | 50 | 0.4944 | 0.72 | 0.85 |
| 0.3205 | 3.0 | 75 | 0.4762 | 0.76 | 0.856 |
| 0.3117 | 4.0 | 100 | 0.4823 | 0.74 | 0.858 |
| 0.2978 | 5.0 | 125 | 0.4612 | 0.76 | 0.86 |
| 0.2776 | 6.0 | 150 | 0.4587 | 0.76 | 0.867 |
| 0.2721 | 7.0 | 175 | 0.4424 | 0.75 | 0.87 |
| 0.2561 | 8.0 | 200 | 0.4429 | 0.78 | 0.874 |
| 0.2447 | 9.0 | 225 | 0.4356 | 0.75 | 0.876 |
| 0.2522 | 10.0 | 250 | 0.4615 | 0.76 | 0.874 |
| 0.2526 | 11.0 | 275 | 0.4391 | 0.8 | 0.872 |
| 0.2162 | 12.0 | 300 | 0.4441 | 0.74 | 0.874 |
| 0.2247 | 13.0 | 325 | 0.4675 | 0.78 | 0.872 |
| 0.2232 | 14.0 | 350 | 0.4491 | 0.8 | 0.876 |
| 0.2324 | 15.0 | 375 | 0.4475 | 0.79 | 0.876 |
| 0.2097 | 16.0 | 400 | 0.4452 | 0.8 | 0.878 |
| 0.2212 | 17.0 | 425 | 0.4408 | 0.76 | 0.877 |
| 0.2257 | 18.0 | 450 | 0.4425 | 0.79 | 0.878 |
| 0.2192 | 19.0 | 475 | 0.4449 | 0.8 | 0.878 |
| 0.2248 | 20.0 | 500 | 0.4422 | 0.78 | 0.878 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Nov 3, 2025
- Updated
- Nov 3, 2025