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xlm-roberta-base-swe-noaug
Kuongan/xlm-roberta-base-swe-noaug
xlm-roberta-base-swe-noaug is a text classification model from Kuongan. 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
- xlm-roberta
- Access
- Public
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025
- SHA
- 6d28b87f
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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. -->
xlm-roberta-base-swe-noaug
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2271
- F1: 0.4400
- Roc Auc: 0.6969
- Accuracy: 0.655
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.6729 | 1.0 | 38 | 0.5627 | 0.0517 | 0.5073 | 0.145 |
| 0.5101 | 2.0 | 76 | 0.3666 | 0.0467 | 0.5136 | 0.35 |
| 0.3674 | 3.0 | 114 | 0.2707 | 0.1536 | 0.5664 | 0.595 |
| 0.2858 | 4.0 | 152 | 0.2398 | 0.3424 | 0.6475 | 0.63 |
| 0.2483 | 5.0 | 190 | 0.2425 | 0.3347 | 0.6390 | 0.635 |
| 0.2197 | 6.0 | 228 | 0.2150 | 0.3698 | 0.6725 | 0.65 |
| 0.2063 | 7.0 | 266 | 0.2276 | 0.3343 | 0.6403 | 0.645 |
| 0.1894 | 8.0 | 304 | 0.2271 | 0.4400 | 0.6969 | 0.655 |
| 0.1796 | 9.0 | 342 | 0.2207 | 0.4273 | 0.6851 | 0.645 |
| 0.1628 | 10.0 | 380 | 0.2319 | 0.4211 | 0.6800 | 0.65 |
| 0.1597 | 11.0 | 418 | 0.2308 | 0.4399 | 0.6917 | 0.655 |
| 0.164 | 12.0 | 456 | 0.2292 | 0.4269 | 0.6894 | 0.645 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 27, 2025
- Updated
- Feb 27, 2025