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xlmr_swedish_immigration4
AnonymousCS/xlmr_swedish_immigration4
xlmr_swedish_immigration4 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
- cd6c2272
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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_immigration4
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: 0.4123
- Accuracy: 0.8692
- 1-f1: 0.8090
- 1-recall: 0.8372
- 1-precision: 0.7826
- Balanced Acc: 0.8611
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.3763 | 1.0 | 5 | 0.3371 | 0.8692 | 0.7792 | 0.6977 | 0.8824 | 0.8258 |
| 0.241 | 2.0 | 10 | 0.4029 | 0.8692 | 0.8046 | 0.8140 | 0.7955 | 0.8553 |
| 0.2721 | 3.0 | 15 | 0.4123 | 0.8692 | 0.8090 | 0.8372 | 0.7826 | 0.8611 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- 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