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iter2-undiacritized
lazymonster/iter2-undiacritized
iter2-undiacritized is a text classification model from lazymonster. 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
- roberta
- Access
- Public
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025
- SHA
- a5762b76
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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. -->
iter2-undiacritized
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1465
- Accuracy: 0.6701
- F1 Macro: 0.6695
- Composite Score: 0.6695
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
|---|---|---|---|---|---|---|
| 0.8536 | 1.0 | 2208 | 1.2374 | 0.3824 | 0.3265 | 0.2820 |
| 0.7304 | 2.0 | 4416 | 1.1405 | 0.5716 | 0.5581 | 0.5527 |
| 0.6069 | 3.0 | 6624 | 1.1397 | 0.5973 | 0.5873 | 0.5870 |
| 0.5614 | 4.0 | 8832 | 1.1043 | 0.6437 | 0.6441 | 0.6441 |
| 0.535 | 5.0 | 11040 | 1.1086 | 0.6659 | 0.6663 | 0.6663 |
| 0.5253 | 6.0 | 13248 | 1.1278 | 0.6712 | 0.6726 | 0.6726 |
| 0.5158 | 7.0 | 15456 | 1.1527 | 0.6576 | 0.6591 | 0.6591 |
| 0.5126 | 8.0 | 17664 | 1.1264 | 0.6772 | 0.6788 | 0.6788 |
| 0.505 | 9.0 | 19872 | 1.1422 | 0.6674 | 0.6682 | 0.6682 |
| 0.4998 | 10.0 | 22080 | 1.1301 | 0.6742 | 0.6736 | 0.6736 |
| 0.4962 | 11.0 | 24288 | 1.1465 | 0.6701 | 0.6695 | 0.6695 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 4, 2025
- Updated
- Dec 4, 2025