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T-AIA-DISTILCAMEMBERT-BASE-TEXT-CLASSIFICATION

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@@ -39,7 +39,7 @@ The model uses the following entity labels:
 - `NEGATIVE`: Non-travel-related sentences
 ## Training Data
-The model was fine-tuned using a proprietary French dataset: Crysy-rthomas/T-AIA-CLASSIFICATION-DATASET. This dataset contains thousands of labeled examples for travel and non-travel sentences.
 ## Hyperparameters and Fine-Tuning:
 - **Learning Rate**: 5e-5

 - `NEGATIVE`: Non-travel-related sentences
 ## Training Data
+The model was fine-tuned using a proprietary French dataset: [Crysy-rthomas/T-AIA-CLASSIFICATION-DATASET](https://huggingface.co/datasets/Crysy-rthomas/T-AIA-CLASSIFICATION-DATASET). This dataset contains thousands of labeled examples for travel and non-travel sentences.
 ## Hyperparameters and Fine-Tuning:
 - **Learning Rate**: 5e-5