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pro_news_classifier
immrass/pro_news_classifier
pro_news_classifier is a machine learning model from immrass. 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
- Apr 8, 2026
- Updated
- Apr 9, 2026
- SHA
- e2c1efbc
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. -->
pro_news_classifier
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: 0.3270
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4837 | 1.0 | 625 | 0.3232 |
| 0.2792 | 2.0 | 1250 | 0.3277 |
| 0.241 | 3.0 | 1875 | 0.3270 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.19.1
- Type
- deberta-v2
- License
- mit
- Created
- Apr 8, 2026
- Updated
- Apr 9, 2026