Upload RT-DETRv2 voucher classifier
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README.md
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### Performance Metrics
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**Final Evaluation Results:**
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**Overall Detection Performance:**
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- **mAP**: 0.0000
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- **mAP@50**: 0.0000
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- **mAP@75**: 0.0000
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**Per-Class Average Precision:**
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- **Digital invoices**: 0.0000 (needs improvement)
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- **Fisico receipts**: 0.0000 (needs improvement)
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- **Tesoreria receipts**: 0.0000 (needs improvement)
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**Model Confidence:**
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- **Digital invoices mean confidence**: 0.7044 (moderate)
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- **Fisico receipts mean confidence**: 0.5937 (low)
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- **Tesoreria receipts mean confidence**: 0.5683 (low)
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**Performance by Object Size:**
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- **Small objects**: 0.0000
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- **Medium objects**: -1.0000
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- **Large objects**: 0.0000
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**Evaluation Dataset:**
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- **Digital invoices**: 157 samples (28.5%)
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- **Fisico receipts**: 261 samples (47.4%)
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- **Tesoreria receipts**: 133 samples (24.1%)
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- **Total evaluation samples**: 551
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**Model Configuration:**
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- **Base model**: PekingU/rtdetr_v2_r101vd
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- **RAM**: 83.5 GB
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- **GPU configuration**: A100 optimized
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**Training Time**: 0.
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**Training Summary:**
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- **Final training loss**:
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### MLflow Tracking
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- **MLflow Run ID**:
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- **MLflow Experiment**: RT-DETRv2_Voucher_Classification
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### Performance Metrics
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**Metric Definitions:**
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- **mAP (mean Average Precision)**: Overall performance metric averaged across all classes and IoU thresholds (0.0-1.0, higher is better)
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- **mAP@50**: mAP calculated at IoU threshold 0.5 - more lenient, measures if objects are found in roughly correct location
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- **mAP@75**: mAP calculated at IoU threshold 0.75 - more strict, requires precise bounding box localization
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- **IoU (Intersection over Union)**: Overlap between predicted and ground truth bounding boxes
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**Performance Ranges:**
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- 0.9+: Excellent
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- 0.8-0.9: Very Good
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- 0.7-0.8: Good
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- 0.5-0.7: Fair
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- <0.5: Poor (needs improvement)
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**Final Evaluation Results:**
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**Model Configuration:**
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- **Base model**: PekingU/rtdetr_v2_r101vd
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- **RAM**: 83.5 GB
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- **GPU configuration**: A100 optimized
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**Training Time**: 0.6 minutes
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**Training Summary:**
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- **Final training loss**: 1361.9480
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### MLflow Tracking
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- **MLflow Run ID**: 65eb62e7fd564f99981143809773def8
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- **MLflow Experiment**: RT-DETRv2_Voucher_Classification
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checkpoint-22/model.safetensors
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checkpoint-22/optimizer.pt
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checkpoint-22/training_args.bin
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model.safetensors
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runs/Aug14_00-08-42_9db0f8c974d2/events.out.tfevents.1755130123.9db0f8c974d2.91164.0
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training_args.bin
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