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twitter_bank_scam_classifier
Colabng/twitter_bank_scam_classifier
twitter_bank_scam_classifier is a text classification model from Colabng. Use it when you need a label for a piece of text. It is set up for peft. 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
- peft
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 11, 2025
- Updated
- Jun 28, 2026
- SHA
- 197b2b96
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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. -->
twitter_bank_scam_classifier
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6349
- Accuracy: 0.73
- Auc: 0.75
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc |
|---|---|---|---|---|---|
| 0.7136 | 1.0 | 11 | 0.6374 | 0.68 | 0.7 |
| 0.6544 | 2.0 | 22 | 0.6349 | 0.73 | 0.75 |
Framework versions
- PEFT 0.16.0
- Transformers 4.53.3
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
- Task
- Text Classification
- Library
- peft
- Type
- bert
- License
- apache-2.0
- Created
- Aug 11, 2025
- Updated
- Jun 28, 2026