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hbtn_emotion_classifier
layka123/hbtn_emotion_classifier
hbtn_emotion_classifier is a text classification model from layka123. 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
- distilbert
- Access
- Public
- Created
- Dec 18, 2025
- Updated
- Dec 18, 2025
- SHA
- eeda02ed
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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. -->
hbtn_emotion_classifier
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2261
- Accuracy: 0.9325
- Precision: 0.9366
- Recall: 0.9325
- F1: 0.9335
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: 32
- seed: 0
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.2452 | 1.0 | 1000 | 0.1764 | 0.9325 | 0.9363 | 0.9325 | 0.9335 |
| 0.1536 | 2.0 | 2000 | 0.1605 | 0.939 | 0.9424 | 0.939 | 0.9391 |
| 0.1103 | 3.0 | 3000 | 0.1790 | 0.935 | 0.9363 | 0.935 | 0.9352 |
| 0.0794 | 4.0 | 4000 | 0.1904 | 0.9395 | 0.9420 | 0.9395 | 0.9400 |
| 0.0597 | 5.0 | 5000 | 0.1911 | 0.94 | 0.9405 | 0.94 | 0.9399 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 18, 2025
- Updated
- Dec 18, 2025