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README.md
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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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tags:
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- finance
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- exception-handling
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- reconciliation
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- classification
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---
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# BERT-Breaks (v0) – Coming Soon 🚧
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**Status:** *Model training and evaluation planned – baseline placeholder repository.*
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## Overview
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`BERT-Breaks-v0` serves as the **vanilla BERT baseline** for the Exception Handling & Reconciliation project.
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It will be trained on the same corpus as our [`DistilBERT-Reconciler`](https://huggingface.co/kelvi23/DistilBERT-Reconciler) – **3.2M labeled post-trade break descriptions and resolution actions** – but using the original `bert-base-uncased` architecture.
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The goal is to provide a performance benchmark against which lightweight and distilled models can be evaluated.
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---
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## Intended Use
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Automated classification of reconciliation exceptions in fixed-income settlement workflows (CUSIP/ISIN).
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The model will output a `label_id` mapped to a human-readable root-cause and recommended resolution step.
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---
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## Planned Training Details
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* **Base**: `bert-base-uncased`
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* **Epochs**: TBD (expected 3–5)
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* **Learning Rate**: TBD (expected ~3e-5)
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* **Max Length**: 256
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* **Dataset**: Proprietary + ISO 20022-derived corpus (post-trade break descriptions)
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* **Split**: 80% train / 20% hold-out
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* **Evaluation Metrics**: Accuracy, Micro-F1, Macro-F1
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---
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## Expected Benchmark
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| Model | Accuracy | Micro-F1 | Macro-F1 |
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|-------------------------|----------|----------|----------|
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| DistilBERT-Reconciler | 0.88 | 0.88 | 0.85 |
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| **BERT-Breaks-v0** | (Coming) | (Coming) | (Coming) |
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---
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## Limitations & Bias
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* Labels are derived from North-American corporate-bond desks (2019–2025).
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* May under-perform on equities, repos, or non-USD instruments without re-training.
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* Baseline model is expected to have **larger inference latency** compared to distilled variants.
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---
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## Citation
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> Kelvin Musodza, *Exception Handling & Reconciliation for Fixed-Income Trading*, Coreledger (2025). DOI: 10.5281/zenodo.1234567
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---
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## Related Models
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* [`DistilBERT-Reconciler`](https://huggingface.co/kelvi23/DistilBERT-Reconciler) – Fine-tuned lightweight alternative.
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* [`Streaming-fail-forecaster`](https://huggingface.co/kelvi23/Streaming-fail-forecaster) – Next-day settlement-fail forecasting models.
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* [`settlement-stress-flagger-v1`](https://huggingface.co/kelvi23/settlement-stress-flagger-v1) – CUSIP-level stress-event classifier.
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