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debertina-base-finetuned-deberta
rubensmau/debertina-base-finetuned-deberta
debertina-base-finetuned-deberta is a text classification model from rubensmau. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024
- SHA
- e50b0ece
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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. -->
debertina-base-finetuned-deberta
This model is a fine-tuned version of tgsc/debertina-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3760
- Accuracy: 0.8760
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 442 | 0.3181 | 0.8708 |
| 0.5097 | 2.0 | 884 | 0.3760 | 0.8760 |
| 0.2858 | 3.0 | 1326 | 0.5142 | 0.8656 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jul 10, 2024
- Updated
- Jul 10, 2024