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distilbert-base-uncased-finetuned-emotion
paulPal1/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from paulPal1. 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
- Apr 17, 2026
- Updated
- Apr 17, 2026
- SHA
- 940768b9
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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
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: 0.1638
- Accuracy: 0.94
- F1: 0.9400
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4029 | 1.0 | 250 | 0.2314 | 0.923 | 0.9230 |
| 0.1915 | 2.0 | 500 | 0.1642 | 0.9335 | 0.9336 |
| 0.1261 | 3.0 | 750 | 0.1520 | 0.934 | 0.9347 |
| 0.1027 | 4.0 | 1000 | 0.1430 | 0.94 | 0.9406 |
| 0.0868 | 5.0 | 1250 | 0.1525 | 0.9375 | 0.9377 |
| 0.0717 | 6.0 | 1500 | 0.1479 | 0.9395 | 0.9396 |
| 0.0602 | 7.0 | 1750 | 0.1564 | 0.9385 | 0.9379 |
| 0.0489 | 8.0 | 2000 | 0.1587 | 0.937 | 0.9370 |
| 0.0398 | 9.0 | 2250 | 0.1630 | 0.9385 | 0.9384 |
| 0.0371 | 10.0 | 2500 | 0.1638 | 0.94 | 0.9400 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.11.0+cu126
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 17, 2026
- Updated
- Apr 17, 2026