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README.md

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 ## Preprocessing & class imbalance
-Sentences were **lowercased** (no stemming/lemmatization) and tokenized with the base tokenizer from [`bilalzafar/cb-bert-mlm`](https://huggingface.co/bilalzafar/cb-bert-mlm) using **max\_length=320** with truncation and **dynamic padding** via `DataCollatorWithPadding`. To address imbalance, training used *Focal Loss (γ=1.0)* with **class weights** computed from the *train* split (`class_weight="balanced"`) applied in the loss, plus a *WeightedRandomSampler* with √(inverse-frequency) *per-sample weights*.
+Sentences were **lowercased** (no stemming/lemmatization) and tokenized with the base tokenizer from [`bilalzafar/CentralBank-BERT`](https://huggingface.co/bilalzafar/CentralBank-BERT) using **max\_length=320** with truncation and **dynamic padding** via `DataCollatorWithPadding`. To address imbalance, training used *Focal Loss (γ=1.0)* with **class weights** computed from the *train* split (`class_weight="balanced"`) applied in the loss, plus a *WeightedRandomSampler* with √(inverse-frequency) *per-sample weights*.
 
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