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DSC_visobert_finetuned
Kuongan/DSC_visobert_finetuned
DSC_visobert_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
- xlm-roberta
- Access
- Public
- Created
- Sep 23, 2025
- Updated
- Sep 23, 2025
- SHA
- 8fb0a0fe
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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_visobert_finetuned
This model is a fine-tuned version of uitnlp/visobert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2285
- Accuracy: 0.5121
- F1 Macro: 0.5084
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 44 | 1.0907 | 0.3793 | 0.3607 |
| 1.103 | 2.0 | 88 | 1.0761 | 0.3971 | 0.3968 |
| 1.0717 | 3.0 | 132 | 1.0490 | 0.4493 | 0.4502 |
| 1.0017 | 4.0 | 176 | 1.0444 | 0.4721 | 0.4709 |
| 0.9095 | 5.0 | 220 | 1.0969 | 0.4721 | 0.4701 |
| 0.8033 | 6.0 | 264 | 1.1493 | 0.4993 | 0.4979 |
| 0.6794 | 7.0 | 308 | 1.2285 | 0.5121 | 0.5084 |
| 0.5809 | 8.0 | 352 | 1.3225 | 0.5071 | 0.5035 |
| 0.5809 | 9.0 | 396 | 1.5689 | 0.4771 | 0.4631 |
| 0.4943 | 10.0 | 440 | 1.4892 | 0.5036 | 0.4998 |
| 0.424 | 11.0 | 484 | 1.6690 | 0.4836 | 0.4802 |
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
- xlm-roberta
- Created
- Sep 23, 2025
- Updated
- Sep 23, 2025