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README.md

@@ -19,14 +19,14 @@ This model is fine-tuned from [microsoft/Florence-2-base-ft](https://huggingface
 
 - Fine-tuned for answering questions about images, specifically focused on logo recognition and company information.
 - The model uses the `<DocVQA>` prompt to indicate the task type.
-- Number of unique images: 2
+- Number of unique images: 28
 - Number of epochs: 15
 - Learning rate: 5e-06
 - Optimizer: AdamW
 - Early stopping: Patience of 3 epochs, delta of 0.01
 
-Dataset statistics: Total number of questions for fine-tuning: 40.
-logo_recognition: 4 (10.00%) brand_identification: 4 (10.00%) visual_elements: 4 (10.00%) text_in_logo: 4 (10.00%) industry_classification: 4 (10.00%) product_service: 4 (10.00%) company_details: 6 (15.00%) negative_sample: 10 (25.00%)
+Dataset statistics: Total number of questions for fine-tuning: 560.
+logo_recognition: 49 (8.75%) brand_identification: 48 (8.57%) visual_elements: 65 (11.61%) text_in_logo: 57 (10.18%) industry_classification: 49 (8.75%) product_service: 55 (9.82%) company_details: 89 (15.89%) negative_sample: 148 (26.43%)
 
 ## Intended use & limitations