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best_berita_roberta_model_fold_4
choiruzzia/best_berita_roberta_model_fold_4
best_berita_roberta_model_fold_4 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
- roberta
- Access
- Public
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024
- SHA
- 58f20028
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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_roberta_model_fold_4
This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1309
- Accuracy: 0.9808
- Precision: 0.9814
- Recall: 0.9809
- F1: 0.9811
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 |
|---|---|---|---|---|---|---|---|
| 0.6294 | 1.0 | 601 | 0.2849 | 0.9217 | 0.9233 | 0.9253 | 0.9217 |
| 0.301 | 2.0 | 1202 | 0.3187 | 0.9409 | 0.9409 | 0.9428 | 0.9413 |
| 0.1565 | 3.0 | 1803 | 0.2576 | 0.9609 | 0.9609 | 0.9626 | 0.9611 |
| 0.0962 | 4.0 | 2404 | 0.3011 | 0.9567 | 0.9577 | 0.9593 | 0.9569 |
| 0.0322 | 5.0 | 3005 | 0.1309 | 0.9808 | 0.9814 | 0.9809 | 0.9811 |
| 0.0218 | 6.0 | 3606 | 0.2434 | 0.9667 | 0.9672 | 0.9684 | 0.9670 |
| 0.0127 | 7.0 | 4207 | 0.3759 | 0.9492 | 0.9509 | 0.9524 | 0.9492 |
| 0.0136 | 8.0 | 4808 | 0.3133 | 0.9642 | 0.9650 | 0.9664 | 0.9645 |
| 0.0024 | 9.0 | 5409 | 0.2968 | 0.9667 | 0.9674 | 0.9687 | 0.9671 |
| 0.0026 | 10.0 | 6010 | 0.2784 | 0.9684 | 0.9690 | 0.9703 | 0.9687 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024