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22best_berita_roberta_model_fold_5
choiruzzia/22best_berita_roberta_model_fold_5
22best_berita_roberta_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
- roberta
- Access
- Public
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024
- SHA
- e0ec4a2e
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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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22best_berita_roberta_model_fold_5
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: 1.0203
- Accuracy: 0.8578
- Precision: 0.8590
- Recall: 0.8528
- F1: 0.8538
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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 106 | 1.1381 | 0.5403 | 0.7643 | 0.5153 | 0.4656 |
| No log | 2.0 | 212 | 1.0541 | 0.7536 | 0.7980 | 0.7549 | 0.7368 |
| No log | 3.0 | 318 | 0.8831 | 0.7867 | 0.8067 | 0.7938 | 0.7852 |
| No log | 4.0 | 424 | 1.2855 | 0.7630 | 0.8040 | 0.7730 | 0.7635 |
| 0.4634 | 5.0 | 530 | 0.9810 | 0.8483 | 0.8576 | 0.8458 | 0.8472 |
| 0.4634 | 6.0 | 636 | 1.1545 | 0.8341 | 0.8493 | 0.8254 | 0.8260 |
| 0.4634 | 7.0 | 742 | 1.0520 | 0.8483 | 0.8509 | 0.8443 | 0.8451 |
| 0.4634 | 8.0 | 848 | 1.0203 | 0.8578 | 0.8590 | 0.8528 | 0.8538 |
| 0.4634 | 9.0 | 954 | 1.0454 | 0.8578 | 0.8588 | 0.8530 | 0.8542 |
| 0.0229 | 10.0 | 1060 | 1.0505 | 0.8578 | 0.8588 | 0.8530 | 0.8542 |
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