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xlmr_swedish_immigration2
AnonymousCS/xlmr_swedish_immigration2
xlmr_swedish_immigration2 is a text classification model from AnonymousCS. 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
- Aug 19, 2025
- Updated
- Aug 19, 2025
- SHA
- 84b4530a
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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. -->
xlmr_swedish_immigration2
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4718
- Accuracy: 0.8462
- 1-f1: 0.7917
- 1-recall: 0.8837
- 1-precision: 0.7170
- Balanced Acc: 0.8557
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: 1e-05
- train_batch_size: 128
- eval_batch_size: 128
- 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
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.368 | 1.0 | 5 | 0.3452 | 0.8615 | 0.7353 | 0.5814 | 1.0 | 0.7907 |
| 0.2416 | 2.0 | 10 | 0.3232 | 0.8538 | 0.7865 | 0.8140 | 0.7609 | 0.8438 |
| 0.3117 | 3.0 | 15 | 0.2919 | 0.8846 | 0.8148 | 0.7674 | 0.8684 | 0.8550 |
| 0.1611 | 4.0 | 20 | 0.3034 | 0.8923 | 0.8205 | 0.7442 | 0.9143 | 0.8549 |
| 0.2353 | 5.0 | 25 | 0.4718 | 0.8462 | 0.7917 | 0.8837 | 0.7170 | 0.8557 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 19, 2025
- Updated
- Aug 19, 2025