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scb-finetune-bert
jab11769/scb-finetune-bert
scb-finetune-bert is a text classification model from jab11769. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 7, 2025
- Updated
- May 7, 2025
- SHA
- 9e501a1b
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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. -->
scb-finetune-bert
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3597
- Accuracy: 0.3558
- Precision: 0.2910
- Recall: 0.3558
- F1: 0.3201
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 1.0511 | 0.375 | 0.1406 | 0.375 | 0.2045 |
| No log | 2.0 | 30 | 1.0649 | 0.375 | 0.1406 | 0.375 | 0.2045 |
| No log | 3.0 | 45 | 1.0597 | 0.3558 | 0.2953 | 0.3558 | 0.2957 |
| No log | 4.0 | 60 | 1.0902 | 0.3269 | 0.2611 | 0.3269 | 0.2650 |
| No log | 5.0 | 75 | 1.0790 | 0.4135 | 0.3320 | 0.4135 | 0.3657 |
| No log | 6.0 | 90 | 1.1469 | 0.3846 | 0.3139 | 0.3846 | 0.3457 |
| No log | 7.0 | 105 | 1.2955 | 0.3462 | 0.2866 | 0.3462 | 0.3015 |
| No log | 8.0 | 120 | 1.3283 | 0.3269 | 0.2717 | 0.3269 | 0.2933 |
| No log | 9.0 | 135 | 1.3397 | 0.375 | 0.3036 | 0.375 | 0.3351 |
| No log | 10.0 | 150 | 1.3597 | 0.3558 | 0.2910 | 0.3558 | 0.3201 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 7, 2025
- Updated
- May 7, 2025