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best_berita_bert_model_fold_1
choiruzzia/best_berita_bert_model_fold_1
best_berita_bert_model_fold_1 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
- 13ca1d48
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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. -->
best_berita_bert_model_fold_1
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: 0.1540
- Accuracy: 0.9809
- Precision: 0.9800
- Recall: 0.9827
- 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 |
|---|---|---|---|---|---|---|---|
| 0.5387 | 1.0 | 601 | 0.2991 | 0.9218 | 0.9265 | 0.9197 | 0.9223 |
| 0.2444 | 2.0 | 1202 | 0.3248 | 0.9434 | 0.9447 | 0.9490 | 0.9439 |
| 0.1184 | 3.0 | 1803 | 0.2541 | 0.9642 | 0.9633 | 0.9670 | 0.9644 |
| 0.0406 | 4.0 | 2404 | 0.1509 | 0.9784 | 0.9783 | 0.9783 | 0.9783 |
| 0.0227 | 5.0 | 3005 | 0.2544 | 0.9692 | 0.9689 | 0.9720 | 0.9696 |
| 0.0157 | 6.0 | 3606 | 0.2683 | 0.9676 | 0.9668 | 0.9709 | 0.9677 |
| 0.009 | 7.0 | 4207 | 0.1540 | 0.9809 | 0.9800 | 0.9827 | 0.9811 |
| 0.0084 | 8.0 | 4808 | 0.2116 | 0.9784 | 0.9776 | 0.9806 | 0.9786 |
| 0.0007 | 9.0 | 5409 | 0.2715 | 0.9717 | 0.9711 | 0.9746 | 0.9720 |
| 0.0 | 10.0 | 6010 | 0.2566 | 0.9717 | 0.9711 | 0.9746 | 0.9720 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jul 17, 2024
- Updated
- Jul 17, 2024