Upload RT-DETRv2 voucher classifier
Browse files
README.md
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### Performance Metrics
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**Final Evaluation Results:**
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- **Tesoreria receipts**: 119 samples (23.5%)
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- **Total training samples**: 507
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- **Total evaluation samples**: 551
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**Model Configuration:**
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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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**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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### MLflow Tracking
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- **MLflow Run ID**: b7fca7191e0c4de6883f809c8d3f4e0c
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- **MLflow Experiment**: RT-DETRv2_Voucher_Classification
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runs/Aug13_23-36-53_9db0f8c974d2/events.out.tfevents.1755128215.9db0f8c974d2.82670.0
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size 7402
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training_args.bin
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