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enli-deberta-v3-large_10
fassabilf/enli-deberta-v3-large_10
enli-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. 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
- d8cf3731
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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. -->
enli-deberta-v3-large_10
This model is a fine-tuned version of cross-encoder/nli-deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8908
- Accuracy: 0.9083
- F1: 0.9088
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 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 |
|---|---|---|---|---|---|
| 0.2817 | 1.0 | 3516 | 0.2948 | 0.9042 | 0.9045 |
| 0.1676 | 2.0 | 7032 | 0.3862 | 0.9029 | 0.9033 |
| 0.1199 | 3.0 | 10548 | 0.5174 | 0.9017 | 0.9021 |
| 0.0501 | 4.0 | 14064 | 0.6014 | 0.9039 | 0.9043 |
| 0.0489 | 5.0 | 17580 | 0.7007 | 0.9034 | 0.9039 |
| 0.0173 | 6.0 | 21096 | 0.7448 | 0.9049 | 0.9056 |
| 0.0142 | 7.0 | 24612 | 0.7086 | 0.9062 | 0.9068 |
| 0.0003 | 8.0 | 28128 | 0.8314 | 0.9074 | 0.9079 |
| 0.0059 | 9.0 | 31644 | 0.8942 | 0.9078 | 0.9083 |
| 0.0 | 10.0 | 35160 | 0.8908 | 0.9083 | 0.9088 |
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
- License
- apache-2.0
- Created
- Jun 7, 2025
- Updated
- Jun 7, 2025