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distilbert-base-uncased-finetuned-emotion-classification
hac1224/distilbert-base-uncased-finetuned-emotion-classification
distilbert-base-uncased-finetuned-emotion-classification is a text classification model from hac1224. 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
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- 0b916ccf
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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. -->
distilbert-base-uncased-finetuned-emotion-classification
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: 0.1529
- Accuracy: 0.935
- Precision: 0.9352
- Recall: 0.935
- F1: 0.9350
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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7943 | 1.0 | 250 | 0.2564 | 0.9205 | 0.9214 | 0.9205 | 0.9208 |
| 0.2045 | 2.0 | 500 | 0.1736 | 0.9295 | 0.9314 | 0.9295 | 0.9301 |
| 0.1370 | 3.0 | 750 | 0.1576 | 0.9325 | 0.9330 | 0.9325 | 0.9326 |
| 0.1082 | 4.0 | 1000 | 0.1529 | 0.935 | 0.9352 | 0.935 | 0.9350 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.6.0+cu124
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026