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bert-bank-transaction-classification
aschaler/bert-bank-transaction-classification
bert-bank-transaction-classification is a machine learning model from aschaler. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Bank transaction record classification BERT model for domain specific classification application. This FT BERT model specializes the base 'google-bert/bert-base-uncased' on custom synthetic bank transaction data by ap…
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At a glance
- Model type
- bert
- Access
- Public
- Created
- Jan 4, 2026
- Updated
- Apr 6, 2026
- SHA
- 38442c06
Base models
Model card
From the Hugging Face model README
aschaler/bert-bank-transaction-classification
Bank transaction record classification BERT model for domain specific classification application. This FT BERT model specializes the base 'google-bert/bert-base-uncased' on custom synthetic bank transaction data by applying a MLP multi class classification head using Linear Probing then Fine-Tunning (LP-FT).
Method description and dataset
The SFT method unfreezes k final layers of the base model after a warm up step of 3 epochs during FT to improve training and performance of the final classifier. This method minmally extends LP-FT as described in Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective.
Training code loacted at: https://github.com/Andreas3333/model-training/tree/main/bert_for_seq_classification
- Type
- bert
- Languages
- en
- Created
- Jan 4, 2026
- Updated
- Apr 6, 2026