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emotion-classifier-demo
KodySimpson/emotion-classifier-demo
emotion-classifier-demo is a text classification model from KodySimpson. 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
- bert
- Access
- Public
- Created
- Jun 11, 2025
- Updated
- Jun 14, 2025
- SHA
- 9afb56ab
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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. -->
emotion-classifier-demo
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3399
- Accuracy: 0.8915
- F1: 0.8918
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0102 | 1.0 | 1000 | 0.7880 | 0.7795 | 0.7662 |
| 0.5796 | 2.0 | 2000 | 0.4849 | 0.868 | 0.8676 |
| 0.4245 | 3.0 | 3000 | 0.3851 | 0.8865 | 0.8866 |
| 0.3527 | 4.0 | 4000 | 0.3508 | 0.889 | 0.8889 |
| 0.3237 | 5.0 | 5000 | 0.3399 | 0.8915 | 0.8918 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 11, 2025
- Updated
- Jun 14, 2025