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DSC_videberta-xsmall_finetuned
Kuongan/DSC_videberta-xsmall_finetuned
DSC_videberta-xsmall_finetuned is a text classification model from Kuongan. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- deberta-v2
- Access
- Public
- Created
- Sep 22, 2025
- Updated
- Sep 22, 2025
- SHA
- 78a719d5
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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. -->
DSC_videberta-xsmall_finetuned
This model is a fine-tuned version of Fsoft-AIC/videberta-xsmall on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7574
- Accuracy: 0.7093
- F1 Macro: 0.7130
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 1.0241 | 1.0 | 175 | 0.8752 | 0.5929 | 0.5421 |
| 0.8216 | 2.0 | 350 | 0.7859 | 0.6571 | 0.6528 |
| 0.729 | 3.0 | 525 | 0.7530 | 0.685 | 0.6876 |
| 0.6938 | 4.0 | 700 | 0.7426 | 0.6943 | 0.6971 |
| 0.6875 | 5.0 | 875 | 0.7608 | 0.7036 | 0.7066 |
| 0.6599 | 6.0 | 1050 | 0.8043 | 0.6829 | 0.6841 |
| 0.6074 | 7.0 | 1225 | 0.7574 | 0.7093 | 0.7130 |
| 0.5697 | 8.0 | 1400 | 0.7815 | 0.7043 | 0.7085 |
| 0.5336 | 9.0 | 1575 | 0.8711 | 0.6843 | 0.6864 |
| 0.5036 | 10.0 | 1750 | 0.8791 | 0.6814 | 0.6846 |
| 0.4846 | 11.0 | 1925 | 0.9090 | 0.6821 | 0.6864 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Sep 22, 2025
- Updated
- Sep 22, 2025