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xlmr_immigration_combo26_4
AnonymousCS/xlmr_immigration_combo26_4
xlmr_immigration_combo26_4 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
- dbe9e63b
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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_4
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: 0.1675
- Accuracy: 0.9614
- 1-f1: 0.9412
- 1-recall: 0.9266
- 1-precision: 0.9562
- Balanced Acc: 0.9527
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 |
|---|---|---|---|---|---|---|---|---|
| 0.1595 | 1.0 | 25 | 0.1355 | 0.9563 | 0.9323 | 0.9035 | 0.9630 | 0.9431 |
| 0.0853 | 2.0 | 50 | 0.1425 | 0.9614 | 0.9409 | 0.9228 | 0.9598 | 0.9518 |
| 0.1138 | 3.0 | 75 | 0.1675 | 0.9614 | 0.9412 | 0.9266 | 0.9562 | 0.9527 |
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