Upload RT-DETRv2 voucher classifier

README.md

@@ -59,6 +59,8 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
 ### Performance Metrics
 
 **Final Evaluation Results:**
+**Model Confidence:**
+
 **Performance by Object Size:**
 
 **Dataset Information:**
@@ -68,6 +70,9 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
 - **Tesoreria receipts**: 119 samples (23.5%)
 - **Total training samples**: 507
 
+*Evaluation Dataset:*
+- **Total evaluation samples**: 551
+
 **Model Configuration:**
 - **Base model**: PekingU/rtdetr_v2_r101vd
 - **Architecture**: rtdetr_v2_r101vd
@@ -89,7 +94,7 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
 
 ### MLflow Tracking
 
-- **MLflow Run ID**: 42c009df3f7c48d78ba9389fea0ea22f
+- **MLflow Run ID**: ad012ef1dbbd4b61b39213442a1ca3a2
 - **MLflow Experiment**: RT-DETRv2_Voucher_Classification
 
 

runs/Aug13_23-19-51_9db0f8c974d2/events.out.tfevents.1755127193.9db0f8c974d2.78187.0

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runs/Aug13_23-25-15_9db0f8c974d2/events.out.tfevents.1755127517.9db0f8c974d2.79638.0

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training_args.bin

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