Downloads · 30 days
21
18% of all-time downloads
deberta-v3-base-feverous-reasoner
sonavp277/deberta-v3-base-feverous-reasoner
deberta-v3-base-feverous-reasoner is a machine learning model from sonavp277. 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. --
All-time downloads
116
Public
Parameters
184M
3.7 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors738 MB · 99%
At a glance
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025
- SHA
- 165bfad4
Base models
Datasets
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. -->
deberta-v3-base-feverous-reasoner
This model is a fine-tuned version of microsoft/deberta-v3-base on the feverous dataset. It achieves the following results on the evaluation set:
- Loss: 0.9284
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7825 | 1.0 | 625 | 0.8935 |
| 0.7348 | 2.0 | 1250 | 0.9012 |
| 0.6793 | 3.0 | 1875 | 0.9284 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.6.0+cu124
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- deberta-v2
- License
- mit
- Created
- Oct 29, 2025
- Updated
- Oct 29, 2025