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distilbert-emotion-multilabel-classifier
v0rein/distilbert-emotion-multilabel-classifier
distilbert-emotion-multilabel-classifier is a machine learning model from v0rein. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025
- SHA
- ece7f441
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-multilabel-classifier
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1902
- F1 Micro: 0.4175
- Roc Auc Micro: 0.8939
- Accuracy: 0.2820
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Roc Auc Micro | Accuracy |
|---|---|---|---|---|---|---|
| 0.1986 | 1.0 | 2614 | 0.1941 | 0.3518 | 0.8863 | 0.2213 |
| 0.1846 | 2.0 | 5228 | 0.1902 | 0.4175 | 0.8939 | 0.2820 |
| 0.1724 | 3.0 | 7842 | 0.1910 | 0.4319 | 0.8941 | 0.2932 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 3.6.0
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 9, 2025
- Updated
- Jun 9, 2025