Create README.md

README.md

@@ -0,0 +1,38 @@
+---
+datasets:
+- dpmendez/environmental-misinformation
+language:
+- en
+base_model:
+- distilbert/distilbert-base-uncased
+---
+This model is a **DistilBERT-based transformer** fine-tuned for climate misinformation classification.
+It predicts the veracity of individual climate-related claims using contextualized language representations.
+
+The model was trained on a dataset combining:
+* Climate Fever
+* Science Feedback fact-checked claims
+
+## Model Details
+* Model type: DistilBERT (distilbert-base-uncased)
+* Task: Sequence classification
+* Input: Single climate-related claim (text)
+* Output: Claim label probabilities
+* Framework: Hugging Face Transformers
+* Model weights: Stored in model.safetensors
+
+## Labels
+| Label             | Description                                   |
+| ----------------- | --------------------------------------------- |
+| `LIKELY_TRUE`     | Claim is consistent with scientific consensus |
+| `LIKELY_FALSE`    | Claim contradicts scientific consensus        |
+
+Label mappings are defined in config.json and label_map.json.
+
+## Training Procedure
+* Fine-tuned from distilbert-base-uncased
+* Cross-entropy loss
+* Class imbalance handled via training strategy (no oversampling)
+* Inference threshold tuned post-training to decrease cost function (less false positives is better)
+
+The selected inference threshold is stored in threshold.json.