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Upload RT-DETRv2 voucher classifier

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README.md CHANGED
@@ -59,8 +59,6 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
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  ### Performance Metrics
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  **Final Evaluation Results:**
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- **Model Confidence:**
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-
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  **Performance by Object Size:**
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  **Dataset Information:**
@@ -70,9 +68,6 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
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  - **Tesoreria receipts**: 119 samples (23.5%)
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  - **Total training samples**: 507
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- *Evaluation Dataset:*
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- - **Total evaluation samples**: 0
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-
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  **Model Configuration:**
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  - **Base model**: PekingU/rtdetr_v2_r101vd
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  - **Architecture**: rtdetr_v2_r101vd
@@ -89,12 +84,12 @@ This model is a fine-tuned version of [PekingU/rtdetr_v2_r101vd](https://hugging
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  **Training Time**: 0.6 minutes
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  **Training Summary:**
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- - **Final training loss**: 1361.7459
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  ### MLflow Tracking
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- - **MLflow Run ID**: e069d7a842fe4eb0ac6bdf50e32790a4
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  - **MLflow Experiment**: RT-DETRv2_Voucher_Classification
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  ### Performance Metrics
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  **Final Evaluation Results:**
 
 
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  **Performance by Object Size:**
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  **Dataset Information:**
 
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  - **Tesoreria receipts**: 119 samples (23.5%)
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  - **Total training samples**: 507
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  **Model Configuration:**
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  - **Base model**: PekingU/rtdetr_v2_r101vd
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  - **Architecture**: rtdetr_v2_r101vd
 
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  **Training Time**: 0.6 minutes
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  **Training Summary:**
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+ - **Final training loss**: 1362.0419
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  ### MLflow Tracking
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+ - **MLflow Run ID**: 3169d01889ce4e08aa4d732ffce47c46
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  - **MLflow Experiment**: RT-DETRv2_Voucher_Classification
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