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deberta-emotion
sakren/deberta-emotion
deberta-emotion is a text classification model from sakren. 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
- May 14, 2024
- Updated
- May 14, 2024
- SHA
- 18a4c164
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Base models
Datasets
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-emotion
This model is a fine-tuned version of microsoft/deberta-v3-base on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1592
- F1: 0.9353
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|
| 0.1784 | 1.0 | 250 | 0.1746 | 0.9325 |
| 0.1273 | 2.0 | 500 | 0.1672 | 0.9332 |
| 0.1008 | 3.0 | 750 | 0.1592 | 0.9353 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- May 14, 2024
- Updated
- May 14, 2024