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deberta-v3-emotion-multilabel-classifier
dzakyahnaf/deberta-v3-emotion-multilabel-classifier
deberta-v3-emotion-multilabel-classifier is a text classification model from dzakyahnaf. 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
- Jun 16, 2025
- Updated
- Jun 18, 2025
- SHA
- c79714c1
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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. -->
deberta-v3-emotion-multilabel-classifier
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2070
- Macro F1: 0.4374
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: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 |
|---|---|---|---|---|
| 0.1987 | 1.0 | 2614 | 0.1941 | 0.3442 |
| 0.187 | 2.0 | 5228 | 0.1936 | 0.4078 |
| 0.1777 | 3.0 | 7842 | 0.1916 | 0.4123 |
| 0.1678 | 4.0 | 10456 | 0.1980 | 0.4285 |
| 0.1588 | 5.0 | 13070 | 0.2021 | 0.4348 |
| 0.1524 | 6.0 | 15684 | 0.2070 | 0.4374 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Jun 16, 2025
- Updated
- Jun 18, 2025