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xlmr_all_immigration3
AnonymousCS/xlmr_all_immigration3
xlmr_all_immigration3 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
- 91da302b
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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_all_immigration3
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: 0.2604
- Accuracy: 0.9200
- 1-f1: 0.8792
- 1-recall: 0.8728
- 1-precision: 0.8856
- Balanced Acc: 0.9082
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.617 | 1.0 | 33 | 0.6041 | 0.6663 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.4335 | 2.0 | 66 | 0.2853 | 0.9026 | 0.8477 | 0.8121 | 0.8864 | 0.8800 |
| 0.3011 | 3.0 | 99 | 0.2753 | 0.9007 | 0.8314 | 0.7341 | 0.9585 | 0.8591 |
| 0.2724 | 4.0 | 132 | 0.2583 | 0.9065 | 0.8428 | 0.7514 | 0.9594 | 0.8678 |
| 0.1475 | 5.0 | 165 | 0.2445 | 0.9238 | 0.8805 | 0.8410 | 0.9238 | 0.9032 |
| 0.104 | 6.0 | 198 | 0.2567 | 0.9161 | 0.8672 | 0.8208 | 0.9191 | 0.8923 |
| 0.1543 | 7.0 | 231 | 0.2604 | 0.9200 | 0.8792 | 0.8728 | 0.8856 | 0.9082 |
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