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IndoBERTweet-Plutchik-Emotion-Classifier
akmalluthfi/IndoBERTweet-Plutchik-Emotion-Classifier
IndoBERTweet-Plutchik-Emotion-Classifier is a text classification model from akmalluthfi. 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
- bert
- Access
- Public
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026
- SHA
- 51caeab4
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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. -->
IndoBERTweet-Plutchik-Emotion-Classifier
This model is a fine-tuned version of indolem/indobertweet-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9306
- F1: 0.6540
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: 256
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9122 | 1.0 | 1707 | 0.8542 | 0.6386 |
| 0.7600 | 2.0 | 3414 | 0.8320 | 0.6509 |
| 0.6177 | 3.0 | 5121 | 0.8593 | 0.6561 |
| 0.5155 | 4.0 | 6828 | 0.8975 | 0.6551 |
| 0.4573 | 5.0 | 8535 | 0.9306 | 0.6540 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.13.0+cu132
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026