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indobert_emotion_base_V2
arthd24/indobert_emotion_base_V2
indobert_emotion_base_V2 is a text classification model from arthd24. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- 678e0ee3
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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. -->
indobert_emotion_base_V2
This model is a fine-tuned version of indolem/indobert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7535
- Accuracy: 0.7705
- F1: 0.7705
- Recall: 0.7705
- Precision: 0.7705
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 1.3032 | 1.0 | 177 | 0.7708 | 0.7331 | 0.7331 | 0.7331 | 0.7331 |
| 0.652 | 2.0 | 354 | 0.6920 | 0.7542 | 0.7542 | 0.7542 | 0.7542 |
| 0.4412 | 3.0 | 531 | 0.7134 | 0.7712 | 0.7712 | 0.7712 | 0.7712 |
| 0.2875 | 4.0 | 708 | 0.7535 | 0.7705 | 0.7705 | 0.7705 | 0.7705 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024