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sambodhan_urgency_classifier
sambodhan/sambodhan_urgency_classifier
sambodhan_urgency_classifier is a text classification model from sambodhan. 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
- Oct 10, 2025
- Updated
- Oct 30, 2025
- SHA
- 2e3ae250
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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. -->
sambodhan_urgency_classifier
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0687
- Accuracy: 0.6867
- F1 Macro: 0.6909
- F1 Weighted: 0.6900
- Precision Macro: 0.7047
- Recall Macro: 0.6878
- Precision Weighted: 0.7039
- Recall Weighted: 0.6867
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: 32
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro | Precision Weighted | Recall Weighted |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.123 | 0.6667 | 50 | 0.1217 | 0.3333 | 0.1974 | 0.2000 | 0.2353 | 0.3276 | 0.2350 | 0.3333 |
| 0.1191 | 1.3333 | 100 | 0.0996 | 0.5333 | 0.5322 | 0.5309 | 0.5440 | 0.5353 | 0.5433 | 0.5333 |
| 0.0918 | 2.0 | 150 | 0.0881 | 0.5933 | 0.5835 | 0.5821 | 0.6286 | 0.5960 | 0.6280 | 0.5933 |
| 0.0674 | 2.6667 | 200 | 0.0687 | 0.6867 | 0.6909 | 0.6900 | 0.7047 | 0.6878 | 0.7039 | 0.6867 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 10, 2025
- Updated
- Oct 30, 2025