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README.md

@@ -21,8 +21,8 @@ This model is fine-tuned from [microsoft/Florence-2-base-ft](https://huggingface
 - The model uses the `<DocVQA>` prompt to indicate the task type.
 - Number of training images: 13
 - Number of validation images: 2
-- Number of epochs: 7
-- Learning rate: 1e-06
+- Number of epochs: 15
+- Learning rate: 5e-06
 - Optimizer: AdamW
 - Early stopping: Patience of 3 epochs, delta of 0.01
 
@@ -36,7 +36,7 @@ This model is fine-tuned from [microsoft/Florence-2-base-ft](https://huggingface
 - Images were resized and normalized according to Florence-2's preprocessing standards.
 - The `<DocVQA>` prompt was used during fine-tuning to indicate the task type.
 - Questions and answers were provided for each image in the training set.
-- Batch size: 6
+- Batch size: 2
 - Evaluation metric: Cross-entropy loss on a held-out validation set
 
 For more information, please contact the model creators.