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xlmr_english_immigration4
AnonymousCS/xlmr_english_immigration4
xlmr_english_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
- 6f7fb4b9
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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_english_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: 0.1723
- Accuracy: 0.9692
- 1-f1: 0.9524
- 1-recall: 0.9302
- 1-precision: 0.9756
- Balanced Acc: 0.9594
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 |
|---|---|---|---|---|---|---|---|---|
| 0.2265 | 1.0 | 5 | 0.2728 | 0.9077 | 0.8378 | 0.7209 | 1.0 | 0.8605 |
| 0.1291 | 2.0 | 10 | 0.1701 | 0.9615 | 0.9398 | 0.9070 | 0.975 | 0.9477 |
| 0.1501 | 3.0 | 15 | 0.1609 | 0.9538 | 0.9268 | 0.8837 | 0.9744 | 0.9361 |
| 0.0949 | 4.0 | 20 | 0.1884 | 0.9538 | 0.925 | 0.8605 | 1.0 | 0.9302 |
| 0.0779 | 5.0 | 25 | 0.1585 | 0.9615 | 0.9398 | 0.9070 | 0.975 | 0.9477 |
| 0.0336 | 6.0 | 30 | 0.1650 | 0.9692 | 0.9524 | 0.9302 | 0.9756 | 0.9594 |
| 0.0387 | 7.0 | 35 | 0.1723 | 0.9692 | 0.9524 | 0.9302 | 0.9756 | 0.9594 |
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