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distilbert-emotion
KshitizSharma/distilbert-emotion
distilbert-emotion is a text classification model from KshitizSharma. 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 26, 2026
- Updated
- Jun 26, 2026
- SHA
- 049e8779
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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-emotion
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: 0.1842
- F1: 0.9252
- Accuracy: 0.925
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_FUSED 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 | F1 | Accuracy |
|---|---|---|---|---|---|
| 0.2148 | 1.0 | 1000 | 0.2169 | 0.9263 | 0.9265 |
| 0.1182 | 2.0 | 2000 | 0.1766 | 0.9329 | 0.9335 |
| 0.0767 | 3.0 | 3000 | 0.1757 | 0.9357 | 0.9355 |
| 0.0633 | 4.0 | 4000 | 0.1772 | 0.9340 | 0.934 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cpu
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 26, 2026
- Updated
- Jun 26, 2026