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Roberta_mmcovid
adity12345/Roberta_mmcovid
Roberta_mmcovid is a text classification model from adity12345. 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 24, 2025
- Updated
- Aug 24, 2025
- SHA
- f09206a9
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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. -->
Roberta_mmcovid
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0697
- Accuracy: 0.985
- Auc: 0.998
- Precision: 0.987
- Recall: 0.992
- F1: 0.989
- F1-macro: 0.981
- F1-micro: 0.985
- F1-weighted: 0.985
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | Precision | Recall | F1 | F1-macro | F1-micro | F1-weighted |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0707 | 0.3180 | 50 | 0.0883 | 0.981 | 0.999 | 0.979 | 0.994 | 0.987 | 0.975 | 0.981 | 0.98 |
| 0.044 | 0.6359 | 100 | 0.0641 | 0.985 | 0.998 | 0.983 | 0.996 | 0.989 | 0.981 | 0.985 | 0.985 |
| 0.0365 | 0.9539 | 150 | 0.0760 | 0.989 | 0.999 | 0.992 | 0.992 | 0.992 | 0.986 | 0.989 | 0.989 |
| 0.0263 | 1.2671 | 200 | 0.0720 | 0.986 | 0.998 | 0.988 | 0.992 | 0.99 | 0.983 | 0.986 | 0.986 |
| 0.0208 | 1.5851 | 250 | 0.0787 | 0.983 | 0.998 | 0.983 | 0.994 | 0.989 | 0.979 | 0.983 | 0.983 |
| 0.0416 | 1.9030 | 300 | 0.0697 | 0.985 | 0.998 | 0.987 | 0.992 | 0.989 | 0.981 | 0.985 | 0.985 |
Framework versions
- Transformers 4.55.2
- 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 24, 2025
- Updated
- Aug 24, 2025