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best_berita_bert_model_fold_5
choiruzzia/best_berita_bert_model_fold_5
best_berita_bert_model_fold_5 is a text classification model from choiruzzia. 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
- Jul 17, 2024
- Updated
- Jul 17, 2024
- SHA
- 10468737
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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. -->
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best_berita_bert_model_fold_5
This model is a fine-tuned version of ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0859
- Accuracy: 0.9833
- Precision: 0.9834
- Recall: 0.9830
- F1: 0.9832
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.5542 | 1.0 | 601 | 0.3531 | 0.9142 | 0.9204 | 0.9129 | 0.9108 |
| 0.266 | 2.0 | 1202 | 0.1554 | 0.9625 | 0.9634 | 0.9620 | 0.9618 |
| 0.1215 | 3.0 | 1803 | 0.0859 | 0.9833 | 0.9834 | 0.9830 | 0.9832 |
| 0.0721 | 4.0 | 2404 | 0.1634 | 0.9725 | 0.9736 | 0.9721 | 0.9720 |
| 0.0227 | 5.0 | 3005 | 0.4132 | 0.9484 | 0.9527 | 0.9475 | 0.9470 |
| 0.0242 | 6.0 | 3606 | 0.2816 | 0.9609 | 0.9632 | 0.9602 | 0.9599 |
| 0.0083 | 7.0 | 4207 | 0.2295 | 0.9717 | 0.9731 | 0.9712 | 0.9712 |
| 0.0 | 8.0 | 4808 | 0.1644 | 0.9792 | 0.9800 | 0.9788 | 0.9789 |
| 0.0002 | 9.0 | 5409 | 0.1868 | 0.9784 | 0.9792 | 0.9780 | 0.9781 |
| 0.0 | 10.0 | 6010 | 0.1901 | 0.9784 | 0.9792 | 0.9780 | 0.9781 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024