Update ORT to 1.5.1 in Bert Quantization Notebook#5396
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| "| PyTorch 1.6 | 32.8 | 25.5 |\n", | ||
| "| ORT 1.4 | 25.6 | 19.5 |" | ||
| "| PyTorch 1.6 | 33.8 | 22.5 |\n", | ||
| "| ORT 1.4 | 26.0 | 19.5 |" |
tianleiwu
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/azp run Linux CPU x64 NoContribops CI Pipeline,Linux GPU CI Pipeline,Linux GPU TensorRT CI Pipeline,Linux OpenVINO CI Pipeline ,MacOS CI Pipeline,MacOS NoContribops CI Pipeline,Windows CPU CI Pipeline,Windows GPU CI Pipeline,Windows GPU TensorRT CI Pipeline |
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/azp run centos7_cpu,orttraining-linux-ci-pipeline,orttraining-linux-gpu-ci-pipeline,Linux CPU CI Pipeline |
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Azure Pipelines successfully started running 4 pipeline(s). |
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Azure Pipelines successfully started running 9 pipeline(s). |
| "| PyTorch 1.6 | 32.8 | 25.5 |\n", | ||
| "| ORT 1.4 | 25.6 | 19.5 |" | ||
| "| PyTorch 1.6 | 33.8 | 22.5 |\n", | ||
| "| ORT 1.5 | 26.0 | 19.5 |" |
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| "| ORT 1.5 | 26.0 | 19.5 |" | |
| "| ORT 1.5.1 | 26.0 | 19.5 |" |
| "| --- | --- | --- |\n", | ||
| "| PyTorch 1.6 | 417.7 | 173.1 |\n", | ||
| "| ORT 1.4 | 417.7 | 106.5 |\n", | ||
| "| ORT 1.5 | 417.7 | 106.5 |\n", |
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| "| ORT 1.5 | 417.7 | 106.5 |\n", | |
| "| ORT 1.5.1 | 417.7 | 106.5 |\n", |
| "OnnxRuntime achieves a little bit better accuracy and F1 score, even though it has small model size.\n", | ||
| "\n", | ||
| "| Metrics | Full Precision | PyTorch 1.6 Quantization | ORT 1.4 Quantization |\n", | ||
| "| Metrics | Full Precision | PyTorch 1.6 Quantization | ORT 1.5 Quantization |\n", |
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| "| Metrics | Full Precision | PyTorch 1.6 Quantization | ORT 1.5 Quantization |\n", | |
| "| Metrics | Full Precision | PyTorch 1.6 Quantization | ORT 1.5.1 Quantization |\n", |
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Usually, patch version is not specified in benchmark
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Update ORT to 1.5.1 in Bert Quantization Notebook