Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- google-bert/bert-base-uncased
+pipeline_tag: text-classification
+tags:
+- multilabel-classification
+- food-safety
+- product-category
+- hazard-category
+- bert
+- data-augmentation
+- optuna
+- interpretability
+- low-resource
+- imbalance-handling
+model_type: bert
+task:
+  name: SemEval 2025 Task 9: The Food Hazard Detection Challenge - Multilabel Text Classification
+  type: text-classification
+  link: https://food-hazard-detection-semeval-2025.github.io/
+dataset:
+- custom
+training:
+  input_features: ["title", "text"]
+  label_names: ["product-category", "hazard-category", "product", "hazard"]
+  augmentation:
+    methods:
+    - lexical: [synonym-replacement, random-swap, word-deletion]
+    - embedding: [contextual-substitution, insertion]
+    - llm: [gpt-4-paraphrasing]
+    strategy: "quantile-based underrepresented class boosting (q=0.99)"
+  optimizer: AdamW
+  scheduler: cosine_with_restarts
+  hyperparameter_search: optuna
+evaluation:
+  metrics: [f1-score]
+limitations:
+- Augmentation focused on titles only; text augmentation could further help.