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FIRE-deberta-small-v3-v2
avinasht/FIRE-deberta-small-v3-v2
FIRE-deberta-small-v3-v2 is a machine learning model from avinasht. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Nov 22, 2025
- Updated
- Nov 22, 2025
- SHA
- a447a955
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. -->
FIRE-deberta-small-v3-v2
This model is a fine-tuned version of microsoft/deberta-v3-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5200
- Accuracy: 0.9245
- F1: 0.9245
- Precision: 0.9246
- Recall: 0.9245
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.5875 | 1.0 | 2329 | 0.7313 | 0.8731 | 0.8731 | 0.8741 | 0.8731 |
| 0.6623 | 2.0 | 4658 | 0.5224 | 0.9160 | 0.9160 | 0.9163 | 0.9160 |
| 0.8689 | 3.0 | 6987 | 0.4615 | 0.9211 | 0.9210 | 0.9217 | 0.9211 |
| 0.7125 | 4.0 | 9316 | 0.5200 | 0.9245 | 0.9245 | 0.9246 | 0.9245 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.19.1
- Type
- deberta-v2
- License
- mit
- Created
- Nov 22, 2025
- Updated
- Nov 22, 2025