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mwik-classifier-extended
Bukareszt/mwik-classifier-extended
mwik-classifier-extended is a text classification model from Bukareszt. 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
- Dec 16, 2025
- Updated
- Dec 19, 2025
- SHA
- f9494e54
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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. -->
mwik-classifier-ext
This model is a fine-tuned version of PKOBP/polish-roberta-8k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1140
- Accuracy: 0.7371
- Precision: 0.7338
- Recall: 0.7371
- F1: 0.7276
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: 24
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- 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: polynomial
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 3.0764 | 1.0 | 64 | 1.6987 | 0.6210 | 0.5278 | 0.6210 | 0.5529 |
| 1.6258 | 2.0 | 128 | 1.3065 | 0.6845 | 0.6331 | 0.6845 | 0.6401 |
| 1.2496 | 3.0 | 192 | 1.1332 | 0.7113 | 0.6755 | 0.7113 | 0.6801 |
| 0.7597 | 4.0 | 256 | 1.0614 | 0.7435 | 0.7298 | 0.7435 | 0.7219 |
| 0.6033 | 5.0 | 320 | 1.0464 | 0.7565 | 0.7427 | 0.7565 | 0.7423 |
| 0.457 | 6.0 | 384 | 1.0559 | 0.7496 | 0.7399 | 0.7496 | 0.7383 |
| 0.3654 | 7.0 | 448 | 1.0642 | 0.7519 | 0.7393 | 0.7519 | 0.7395 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Dec 16, 2025
- Updated
- Dec 19, 2025