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xlmr_immigration_combo26_0
AnonymousCS/xlmr_immigration_combo26_0
xlmr_immigration_combo26_0 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 20, 2025
- Updated
- Aug 20, 2025
- SHA
- f13e4bf4
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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_immigration_combo26_0
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: 0.2525
- Accuracy: 0.9113
- 1-f1: 0.8691
- 1-recall: 0.8842
- 1-precision: 0.8545
- Balanced Acc: 0.9045
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 |
|---|---|---|---|---|---|---|---|---|
| 0.6105 | 1.0 | 25 | 0.6039 | 0.6671 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.3238 | 2.0 | 50 | 0.2721 | 0.8946 | 0.8340 | 0.7954 | 0.8766 | 0.8697 |
| 0.2809 | 3.0 | 75 | 0.2403 | 0.9049 | 0.8471 | 0.7915 | 0.9111 | 0.8765 |
| 0.2353 | 4.0 | 100 | 0.2520 | 0.9049 | 0.8571 | 0.8571 | 0.8571 | 0.8929 |
| 0.2196 | 5.0 | 125 | 0.2525 | 0.9113 | 0.8691 | 0.8842 | 0.8545 | 0.9045 |
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 20, 2025
- Updated
- Aug 20, 2025