Upload RT-DETRv2 voucher classifier

README.md

@@ -53,7 +53,7 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
 
 **Data Processing:**
 - Pre-augmented dataset used (no runtime augmentation)
-- External train/validation split (use create_train_val_split.py)
+- External train/validation split (REQUIRED - use create_train_val_split.py)
 - Preprocessing: Resize + Normalization only
 
 ### Performance Metrics
@@ -87,7 +87,7 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
 
 ### MLflow Tracking
 
-- **MLflow Run ID**: c348e8235f8c40138c05c051fc207bb6
+- **MLflow Run ID**: b397d3e7609f4e15b275074a40a08100
 - **MLflow Experiment**: RT-DETRv2_Voucher_Classification
 
 
@@ -133,7 +133,7 @@ The model was fine-tuned using the Hugging Face Transformers library with:
 - Pre-augmented dataset focusing on challenging cases
 - Format-specific augmentation strategies applied during data preparation
 - MLflow experiment tracking for reproducibility
-- External train/validation split for unbiased evaluation
+- External train/validation split REQUIRED for unbiased evaluation (no fallback to training data)
 
 ## Limitations and Bias
 

runs/Aug13_22-36-44_9db0f8c974d2/events.out.tfevents.1755124606.9db0f8c974d2.65944.0

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training_args.bin

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