From 02fe2f9f1d4a243fd50f9262c3e7ec39177bc2a8 Mon Sep 17 00:00:00 2001 From: zhouyaqiang Date: Mon, 31 Aug 2020 11:18:31 +0800 Subject: [PATCH] modify read me of inception v3 --- model_zoo/official/cv/inceptionv3/README.md | 26 +++++++++++---------- 1 file changed, 14 insertions(+), 12 deletions(-) diff --git a/model_zoo/official/cv/inceptionv3/README.md b/model_zoo/official/cv/inceptionv3/README.md index 3e4313ef658..1c3e99cdb13 100644 --- a/model_zoo/official/cv/inceptionv3/README.md +++ b/model_zoo/official/cv/inceptionv3/README.md @@ -35,7 +35,7 @@ The overall network architecture of InceptionV3 is show below: Dataset used can refer to paper. -- Dataset size: ~125G, 1.2W colorful images in 1000 classes +- Dataset size: 125G, 1250k colorful images in 1000 classes - Train: 120G, 1200k images - Test: 5G, 50k images - Data format: RGB images. @@ -217,19 +217,21 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942} ### Training Performance -| Parameters | InceptionV3 | | +| Parameters | Ascend | GPU | | -------------------------- | ---------------------------------------------- | ------------------------- | -| Model Version | V1 | V1 | +| Model Version | InceptionV3 | InceptionV3 | | Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | NV SMI V100-16G(PCIE),cpu:2.10GHz 96cores, memory:250G | | uploaded Date | 08/21/2020 | 08/21/2020 | | MindSpore Version | 0.6.0-beta | 0.6.0-beta | +| Dataset | 1200k images | 1200k images | +| Batch_size | 128 | 128 | | Training Parameters | src/config.py | src/config.py | | Optimizer | RMSProp | RMSProp | | Loss Function | SoftmaxCrossEntropy | SoftmaxCrossEntropy | -| outputs | probability | probability | +| Outputs | probability | probability | | Loss | 1.98 | 1.98 | -| Accuracy (8p) | ACC1[78.8%] ACC5[94.2%] | ACC1[78.7%] ACC5[94.1%] | -| Total time (8p) | 11h | 72h | +| Accuracy (8p) | ACC1[78.8%] ACC5[94.2%] | ACC1[78.7%] ACC5[94.1%] | +| Total time (8p) | 11h | 72h | | Params (M) | 103M | 103M | | Checkpoint for Fine tuning | 313M | 312M | | Scripts | [inceptionv3 script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/inceptionv3) | [inceptionv3 script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/inceptionv3) | @@ -237,15 +239,15 @@ metric: {'Loss': 1.778, 'Top1-Acc':0.788, 'Top5-Acc':0.942} #### Inference Performance -| Parameters | InceptionV3 | +| Parameters | Ascend | | ------------------- | --------------------------- | -| Model Version | V1 | -| Resource | Ascend 910 | -| Uploaded Date | 08/22/2020 (month/day/year) | +| Model Version | InceptionV3 | +| Resource | Ascend 910, cpu:2.60GHz 56cores, memory:314G | +| Uploaded Date | 08/22/2020 | | MindSpore Version | 0.6.0-beta | | Dataset | 50k images | -| batch_size | 128 | -| outputs | probability | +| Batch_size | 128 | +| Outputs | probability | | Accuracy | ACC1[78.8%] ACC5[94.2%] | | Total time | 2mins | | Model for inference | 92M (.onnx file) |