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xlm_roberta_allergy
arfabae/xlm_roberta_allergy
xlm_roberta_allergy is a text classification model from arfabae. 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
- Jul 20, 2026
- Updated
- Jul 20, 2026
- SHA
- 7093bb31
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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. -->
xlm_roberta_allergy
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1517
- Accuracy: 0.7809
- Micro F1: 0.8989
- Macro F1: 0.8329
- Weighted F1: 0.8981
- Precision: 0.9014
- Recall: 0.8965
- Hamming Loss: 0.0249
- Jaccard: 0.8818
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Micro F1 | Macro F1 | Weighted F1 | Precision | Recall | Hamming Loss | Jaccard |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1817 | 1.0 | 7266 | 0.1734 | 0.7425 | 0.8805 | 0.7538 | 0.8778 | 0.8979 | 0.8639 | 0.0289 | 0.8571 |
| 0.1601 | 2.0 | 14532 | 0.1606 | 0.7639 | 0.8918 | 0.7849 | 0.8904 | 0.8959 | 0.8878 | 0.0266 | 0.8698 |
| 0.1354 | 3.0 | 21798 | 0.1527 | 0.7753 | 0.8965 | 0.8083 | 0.8956 | 0.8997 | 0.8933 | 0.0254 | 0.8773 |
| 0.1238 | 4.0 | 29064 | 0.1517 | 0.7772 | 0.8978 | 0.8205 | 0.8968 | 0.8953 | 0.9003 | 0.0253 | 0.8796 |
| 0.1163 | 5.0 | 36330 | 0.1517 | 0.7809 | 0.8989 | 0.8329 | 0.8981 | 0.9014 | 0.8965 | 0.0249 | 0.8818 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jul 20, 2026
- Updated
- Jul 20, 2026