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indonli-deberta-v3-large_10
fassabilf/indonli-deberta-v3-large_10
indonli-deberta-v3-large_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.
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
- Jun 7, 2025
- Updated
- Jun 7, 2025
- SHA
- 52ca1e09
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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. -->
nli-deberta-v3-large_10
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.7262
- eval_model_preparation_time: 0.0067
- eval_accuracy: 0.7840
- eval_f1: 0.7843
- eval_runtime: 50.8286
- eval_samples_per_second: 124.536
- eval_steps_per_second: 7.791
- step: 0
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: 16
- 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: cosine
- num_epochs: 10
Framework versions
- Transformers 4.52.4
- Pytorch 2.7.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025