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indonli-deberta-v3-base_10
fassabilf/indonli-deberta-v3-base_10
indonli-deberta-v3-base_10 is a text classification model from fassabilf. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- deberta-v2
- Access
- Public
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025
- SHA
- 25a00bb5
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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. -->
indonli-deberta-v3-base_10
This model is a fine-tuned version of cross-encoder/nli-deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0293
- Accuracy: 0.7311
- F1: 0.7315
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.7318 | 1.0 | 1583 | 0.6725 | 0.7204 | 0.7218 |
| 0.5691 | 2.0 | 3166 | 0.6690 | 0.7336 | 0.7345 |
| 0.4593 | 3.0 | 4749 | 0.7598 | 0.7349 | 0.7355 |
| 0.3097 | 4.0 | 6332 | 0.8300 | 0.7286 | 0.7287 |
| 0.2553 | 5.0 | 7915 | 1.0356 | 0.7262 | 0.7276 |
| 0.1916 | 6.0 | 9498 | 1.4405 | 0.7343 | 0.7341 |
| 0.1912 | 7.0 | 11081 | 1.6716 | 0.7289 | 0.7287 |
| 0.1121 | 8.0 | 12664 | 1.8807 | 0.7333 | 0.7334 |
| 0.095 | 9.0 | 14247 | 2.0200 | 0.7302 | 0.7309 |
| 0.0694 | 9.9940 | 15820 | 2.0293 | 0.7311 | 0.7315 |
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- apache-2.0
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025