diff --git a/README.md b/README.md index dcf9e00..da958db 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,3 @@ - # Model Zoo ![version](https://img.shields.io/badge/version-21.08-0091BD) > A collection of machine learning models optimized for Arm IP. @@ -109,7 +108,7 @@ :heavy_check_mark: :heavy_check_mark: :heavy_check_mark: - 0.929 + 0.931 CNN Medium INT8 * @@ -119,7 +118,7 @@ :heavy_check_mark: :heavy_check_mark: :heavy_check_mark: - 0.913 + 0.911 CNN Small INT8 * @@ -129,7 +128,7 @@ :heavy_check_mark: :heavy_check_mark: :heavy_check_mark: - 0.914 + 0.912 DNN Large INT8 * @@ -149,7 +148,7 @@ :heavy_check_mark: :heavy_check_mark: :heavy_check_mark: - 0.846 + 0.844 DNN Small INT8 * @@ -159,7 +158,7 @@ :heavy_check_mark: :heavy_check_mark: :heavy_check_mark: - 0.827 + 0.825 DS-CNN Clustered FP32 * @@ -199,7 +198,7 @@ :heavy_check_mark: HERO :heavy_check_mark: :heavy_check_mark: - 0.934 + 0.941 DS-CNN Small INT8 * diff --git a/models/keyword_spotting/cnn_large/tflite_int8/README.md b/models/keyword_spotting/cnn_large/tflite_int8/README.md index d36c58c..479133f 100644 --- a/models/keyword_spotting/cnn_large/tflite_int8/README.md +++ b/models/keyword_spotting/cnn_large/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | 59e6986c3eca496fa3d54176ac66bb7dc9ff36e0 | -| Size (Bytes) | 486560 | +| SHA-1 Hash | a61ab748ae8f52f78ab568342db67a792c6ecf34 | +| Size (Bytes) | 484600 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.929 | +| Accuracy | 0.931 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/cnn_large/tflite_int8/cnn_l_quantized.tflite b/models/keyword_spotting/cnn_large/tflite_int8/cnn_l_quantized.tflite index e01f0e8..a3e4487 100644 --- a/models/keyword_spotting/cnn_large/tflite_int8/cnn_l_quantized.tflite +++ b/models/keyword_spotting/cnn_large/tflite_int8/cnn_l_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:db7e359e766f96bcafee00ff475672cd0268cdb84156bfdc2b05d70ab24dc32a -size 486560 +oid sha256:7dee2cb5f152bda13e09593b2355c174c012080b569ba26bce1f4132feb44633 +size 484600 diff --git a/models/keyword_spotting/cnn_large/tflite_int8/definition.yaml b/models/keyword_spotting/cnn_large/tflite_int8/definition.yaml index fad5eb3..63dcf0d 100644 --- a/models/keyword_spotting/cnn_large/tflite_int8/definition.yaml +++ b/models/keyword_spotting/cnn_large/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.929 + Accuracy: 93.09% description: 'This is a fully quantized version (asymmetrical int8) of the CNN Large model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 486560 + file_size_bytes: 484600 filename: cnn_l_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: 59e6986c3eca496fa3d54176ac66bb7dc9ff36e0 + value: a61ab748ae8f52f78ab568342db67a792c6ecf34 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490) diff --git a/models/keyword_spotting/cnn_large/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/cnn_large/tflite_int8/testing_input/input/0.npy index 46929f3..f3b09c7 100644 --- a/models/keyword_spotting/cnn_large/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/cnn_large/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c617e49b3881660f02eb118908b915686b4c9018e0904cc4015731da5b8f083b -size 2088 +oid sha256:7f12421d1892c3c971f2cde7e9effb1334d0ebf4dc408dc979d3418f49d66bda +size 618 diff --git a/models/keyword_spotting/cnn_large/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/cnn_large/tflite_int8/testing_output/Identity/0.npy index 2af9fd0..37fcd87 100644 --- a/models/keyword_spotting/cnn_large/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/cnn_large/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:263b365ec4a0059ec477dc4bcbfec16a49b7c2920641ed48efa201c848424cc4 -size 176 +oid sha256:bb6ae4cf97cee9fea31a725d8f61ae0ca3d1b7b5059bcede551f365f94f8feaf +size 140 diff --git a/models/keyword_spotting/cnn_medium/tflite_int8/README.md b/models/keyword_spotting/cnn_medium/tflite_int8/README.md index 0ccdf5c..5576d61 100644 --- a/models/keyword_spotting/cnn_medium/tflite_int8/README.md +++ b/models/keyword_spotting/cnn_medium/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | 389c6c2c7d289c0018e2dabcc66271811e52874c | -| Size (Bytes) | 187840 | +| SHA-1 Hash | 6bc68074d960bbb0c695e19fd96fd7903131ef60 | +| Size (Bytes) | 186064 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.913 | +| Accuracy | 0.911 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/cnn_medium/tflite_int8/cnn_m_quantized.tflite b/models/keyword_spotting/cnn_medium/tflite_int8/cnn_m_quantized.tflite index 41f7f29..8dc8432 100644 --- a/models/keyword_spotting/cnn_medium/tflite_int8/cnn_m_quantized.tflite +++ b/models/keyword_spotting/cnn_medium/tflite_int8/cnn_m_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:c5b248c9bbd1d49e2887eb410853338838debd8465363aebf77ed66601f6d279 -size 187840 +oid sha256:ae3ddb36a6a397b4394122abf320f92754f148a432e9a6de12619e78d3d853c1 +size 186064 diff --git a/models/keyword_spotting/cnn_medium/tflite_int8/definition.yaml b/models/keyword_spotting/cnn_medium/tflite_int8/definition.yaml index f5a4b0b..a7851bb 100644 --- a/models/keyword_spotting/cnn_medium/tflite_int8/definition.yaml +++ b/models/keyword_spotting/cnn_medium/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.913 + Accuracy: 91.08% description: 'This is a fully quantized version (asymmetrical int8) of the CNN Medium model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 187840 + file_size_bytes: 186064 filename: cnn_m_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: 389c6c2c7d289c0018e2dabcc66271811e52874c + value: 6bc68074d960bbb0c695e19fd96fd7903131ef60 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490) diff --git a/models/keyword_spotting/cnn_medium/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/cnn_medium/tflite_int8/testing_input/input/0.npy index 019d597..1829684 100644 --- a/models/keyword_spotting/cnn_medium/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/cnn_medium/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e9e78e930e911e01c9de252a2ce4bd0a24d24b92df99360d22a8ce4aa0fa9374 -size 2088 +oid sha256:d2407c02e6ffdd0b88ee777cc692034d5f9202d1c130ce3e87405664bdd265ed +size 618 diff --git a/models/keyword_spotting/cnn_medium/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/cnn_medium/tflite_int8/testing_output/Identity/0.npy index 795344c..189245a 100644 --- a/models/keyword_spotting/cnn_medium/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/cnn_medium/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:beb323ac65a632694dfa205a05db3113136dc4dcc0df88286501dbddf9349826 -size 176 +oid sha256:4e8c7209482ecdeacdd3274b87f79b6026a6d14e885c81f943cb2934c4b81861 +size 140 diff --git a/models/keyword_spotting/cnn_small/tflite_int8/README.md b/models/keyword_spotting/cnn_small/tflite_int8/README.md index 1a8098b..54e42bd 100644 --- a/models/keyword_spotting/cnn_small/tflite_int8/README.md +++ b/models/keyword_spotting/cnn_small/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | d3c8f4b468545d7012383f2a312bef6245a3b599 | -| Size (Bytes) | 76752 | +| SHA-1 Hash | 3415f88dfb8f78fe47d282d68ccbc3ce71a7510f | +| Size (Bytes) | 75400 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.914 | +| Accuracy | 0.912 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/cnn_small/tflite_int8/cnn_s_quantized.tflite b/models/keyword_spotting/cnn_small/tflite_int8/cnn_s_quantized.tflite index 2710880..b0c4bce 100644 --- a/models/keyword_spotting/cnn_small/tflite_int8/cnn_s_quantized.tflite +++ b/models/keyword_spotting/cnn_small/tflite_int8/cnn_s_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:e27f84423ba1d274d266dc0b73f052258c4140935d7eec6b2190d2a7b91a9b99 -size 76752 +oid sha256:32d791ecf6e111af33f512f694319e22826829a566d6bd3ffc431028a6d88d4d +size 75400 diff --git a/models/keyword_spotting/cnn_small/tflite_int8/definition.yaml b/models/keyword_spotting/cnn_small/tflite_int8/definition.yaml index bf73a6a..e5cd3c4 100644 --- a/models/keyword_spotting/cnn_small/tflite_int8/definition.yaml +++ b/models/keyword_spotting/cnn_small/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.914 + Accuracy: 91.23% description: 'This is a fully quantized version (asymmetrical int8) of the CNN Small model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 76752 + file_size_bytes: 75400 filename: cnn_s_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: d3c8f4b468545d7012383f2a312bef6245a3b599 + value: 3415f88dfb8f78fe47d282d68ccbc3ce71a7510f provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490) diff --git a/models/keyword_spotting/cnn_small/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/cnn_small/tflite_int8/testing_input/input/0.npy index a0427cd..8692dfa 100644 --- a/models/keyword_spotting/cnn_small/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/cnn_small/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:6ab93d482c05ce53fd467f419d67653351c0b6a6d4466484a904183c967d7615 -size 2088 +oid sha256:3510110d5273f58a1239c3eadd8d3dd65886c4848ab80b9ba51e53560549b2ce +size 618 diff --git a/models/keyword_spotting/cnn_small/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/cnn_small/tflite_int8/testing_output/Identity/0.npy index 32e9c6a..1fc6b4a 100644 --- a/models/keyword_spotting/cnn_small/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/cnn_small/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:a3c45c91b844320f45454118d9959f0a84c6ab3702249a65d27a65eaccb94364 -size 176 +oid sha256:f4a899b1260ff7b659d0296f31dd237311db19c3f85606fd37bd0c0bc76a9851 +size 140 diff --git a/models/keyword_spotting/dnn_large/tflite_int8/README.md b/models/keyword_spotting/dnn_large/tflite_int8/README.md index a65b295..40a0507 100644 --- a/models/keyword_spotting/dnn_large/tflite_int8/README.md +++ b/models/keyword_spotting/dnn_large/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | 16e03dda20ae81dfba6a567e6e7563ca67596969 | -| Size (Bytes) | 502928 | +| SHA-1 Hash | 2b1ee34e4c87ba6f24092c7457593227099efaf1 | +| Size (Bytes) | 502272 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | diff --git a/models/keyword_spotting/dnn_large/tflite_int8/definition.yaml b/models/keyword_spotting/dnn_large/tflite_int8/definition.yaml index 7731163..68c8968 100644 --- a/models/keyword_spotting/dnn_large/tflite_int8/definition.yaml +++ b/models/keyword_spotting/dnn_large/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.863 + Accuracy: 86.26% description: 'This is a fully quantized version (asymmetrical int8) of the DNN Large model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 502928 + file_size_bytes: 502272 filename: dnn_l_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: 16e03dda20ae81dfba6a567e6e7563ca67596969 + value: 2b1ee34e4c87ba6f24092c7457593227099efaf1 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 250) diff --git a/models/keyword_spotting/dnn_large/tflite_int8/dnn_l_quantized.tflite b/models/keyword_spotting/dnn_large/tflite_int8/dnn_l_quantized.tflite index 115630b..fc04063 100644 --- a/models/keyword_spotting/dnn_large/tflite_int8/dnn_l_quantized.tflite +++ b/models/keyword_spotting/dnn_large/tflite_int8/dnn_l_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:8ce8851a911a09f8e95e7b1b2d79b1be8789f6daf31822af608e3ed76c804449 -size 502928 +oid sha256:29f15ded3dec261ea33dacccbeceabe067c27e8928d68045d19ca03b7e926cd5 +size 502272 diff --git a/models/keyword_spotting/dnn_large/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/dnn_large/tflite_int8/testing_input/input/0.npy index 630a2a0..558b8ff 100644 --- a/models/keyword_spotting/dnn_large/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/dnn_large/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:64e49f31ae73b296444bf68f5353f378757caf49e7f49327a1045c0af69a596e -size 1128 +oid sha256:9670b6cc8345843011e34a76fdd13d1cd73ddb79ffb7e9d71baec4b5a0171ffc +size 378 diff --git a/models/keyword_spotting/dnn_large/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/dnn_large/tflite_int8/testing_output/Identity/0.npy index 5f9cd13..6a5ef2f 100644 --- a/models/keyword_spotting/dnn_large/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/dnn_large/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5b9f8f953115b84e5e55a4aa80de50bb3c0438421d318dfcaf70a53bf9243f47 -size 176 +oid sha256:92495c30988ad2c068e958f2bd989292a3f9f0f48b5be0143343b442934f6739 +size 140 diff --git a/models/keyword_spotting/dnn_medium/tflite_int8/README.md b/models/keyword_spotting/dnn_medium/tflite_int8/README.md index fcb6e2f..cfc52ce 100644 --- a/models/keyword_spotting/dnn_medium/tflite_int8/README.md +++ b/models/keyword_spotting/dnn_medium/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | 57ad3cf78f736819b8897f5de51f7e9a4cbd5689 | -| Size (Bytes) | 204480 | +| SHA-1 Hash | 7e138f99cfc6a603a1fc735a2d9c3e28a41a6a43 | +| Size (Bytes) | 203832 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.846 | +| Accuracy | 0.844 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/dnn_medium/tflite_int8/definition.yaml b/models/keyword_spotting/dnn_medium/tflite_int8/definition.yaml index b963bc7..abcfbd8 100644 --- a/models/keyword_spotting/dnn_medium/tflite_int8/definition.yaml +++ b/models/keyword_spotting/dnn_medium/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.846 + Accuracy: 84.44% description: 'This is a fully quantized version (asymmetrical int8) of the DNN Medium model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 204480 + file_size_bytes: 203832 filename: dnn_m_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: 57ad3cf78f736819b8897f5de51f7e9a4cbd5689 + value: 7e138f99cfc6a603a1fc735a2d9c3e28a41a6a43 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 250) diff --git a/models/keyword_spotting/dnn_medium/tflite_int8/dnn_m_quantized.tflite b/models/keyword_spotting/dnn_medium/tflite_int8/dnn_m_quantized.tflite index 1b4ad83..2311850 100644 --- a/models/keyword_spotting/dnn_medium/tflite_int8/dnn_m_quantized.tflite +++ b/models/keyword_spotting/dnn_medium/tflite_int8/dnn_m_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:583870dc8e2b71c43e7df6af31b875e18f6484b7f8812e4cec000828194d3505 -size 204480 +oid sha256:8aaea8c3a4b802843ff2fc8d9f9c16d186ce6529703675d8794d84caf4e8abcd +size 203832 diff --git a/models/keyword_spotting/dnn_medium/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/dnn_medium/tflite_int8/testing_input/input/0.npy index fc83aae..32c8c54 100644 --- a/models/keyword_spotting/dnn_medium/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/dnn_medium/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:4726af0ac4260b864bc7944f5c661fabec3094bea9cfb66bf5dcebeb3afa2ddb -size 1128 +oid sha256:6607af3640b3097367eda7f9cbb646f72024b7b5e8b0de3b5fe7575798b6ba24 +size 378 diff --git a/models/keyword_spotting/dnn_medium/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/dnn_medium/tflite_int8/testing_output/Identity/0.npy index f45738a..aba943b 100644 --- a/models/keyword_spotting/dnn_medium/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/dnn_medium/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:5e7d8de3bfebb95e1299a8f900b3f07b6d0976876dee94803917de2f3116cbeb -size 176 +oid sha256:e3cdb0a6b839fb696d5c3f7ef54d106848188c1e2952b810e93b26c9bbb9c845 +size 140 diff --git a/models/keyword_spotting/dnn_small/tflite_int8/README.md b/models/keyword_spotting/dnn_small/tflite_int8/README.md index 6ff5897..1f5d3f8 100644 --- a/models/keyword_spotting/dnn_small/tflite_int8/README.md +++ b/models/keyword_spotting/dnn_small/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | 5b00a7eb54eb2650c50026ddef2b3134a71ab6cf | -| Size (Bytes) | 84192 | +| SHA-1 Hash | 4b92e09fb43b2f042ce2811b91c7c67bf7186b6b | +| Size (Bytes) | 83544 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.827 | +| Accuracy | 0.825 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/dnn_small/tflite_int8/definition.yaml b/models/keyword_spotting/dnn_small/tflite_int8/definition.yaml index 891a321..7f66d4d 100644 --- a/models/keyword_spotting/dnn_small/tflite_int8/definition.yaml +++ b/models/keyword_spotting/dnn_small/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.827 + Accuracy: 82.45% description: 'This is a fully quantized version (asymmetrical int8) of the DNN Small model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 84192 + file_size_bytes: 83544 filename: dnn_s_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: 5b00a7eb54eb2650c50026ddef2b3134a71ab6cf + value: 4b92e09fb43b2f042ce2811b91c7c67bf7186b6b provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: null network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 250) diff --git a/models/keyword_spotting/dnn_small/tflite_int8/dnn_s_quantized.tflite b/models/keyword_spotting/dnn_small/tflite_int8/dnn_s_quantized.tflite index 81c327c..85bcbac 100644 --- a/models/keyword_spotting/dnn_small/tflite_int8/dnn_s_quantized.tflite +++ b/models/keyword_spotting/dnn_small/tflite_int8/dnn_s_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b34dea022996706a558f14fbc967631889cbc82b93f25d326c581763aed71f0b -size 84192 +oid sha256:cbc9be800da22587766862cb99aaed59649d0b0f1d0cc279a24b55c7171211e9 +size 83544 diff --git a/models/keyword_spotting/dnn_small/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/dnn_small/tflite_int8/testing_input/input/0.npy index d5347dc..9271c80 100644 --- a/models/keyword_spotting/dnn_small/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/dnn_small/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2851c7ed0ba56e11c91105ee16066e36af37720a9d05b21322acdb75305a1138 -size 1128 +oid sha256:055674ef4e60069da8282a22e4b71336ff8e365703a3076496eec624405f96fa +size 378 diff --git a/models/keyword_spotting/dnn_small/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/dnn_small/tflite_int8/testing_output/Identity/0.npy index 1c48b7e..47facf9 100644 --- a/models/keyword_spotting/dnn_small/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/dnn_small/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:654de06c1bd3726bd4be282b1721cd2bd80e7f83cdee401d50993f30621f855a -size 176 +oid sha256:c086137c23cf9f18b29ffa5f1e868c282ddd7ae733be37de1527e6f77ba3695c +size 140 diff --git a/models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml b/models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml index a4d46f1..54df622 100644 --- a/models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml +++ b/models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml @@ -1,6 +1,6 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.946 + Accuracy: 94.58% description: 'This is a fully quantized version (asymmetrical int8) of the DS-CNN Large model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' @@ -14,6 +14,7 @@ network: algorithm: sha1 value: 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: hero#CORTEX-M network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490) diff --git a/models/keyword_spotting/ds_cnn_medium/tflite_int8/README.md b/models/keyword_spotting/ds_cnn_medium/tflite_int8/README.md index ac6b906..c675a6f 100644 --- a/models/keyword_spotting/ds_cnn_medium/tflite_int8/README.md +++ b/models/keyword_spotting/ds_cnn_medium/tflite_int8/README.md @@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M | Network Information | Value | |---------------------|------------------| | Framework | TensorFlow Lite | -| SHA-1 Hash | c6923b02806224775b58ab9bc11e03e021ff407e | -| Size (Bytes) | 200928 | +| SHA-1 Hash | 740d32adde16948b2ab45e1e8c856de2925a05eb | +| Size (Bytes) | 186288 | | Provenance | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m | | Paper | https://arxiv.org/abs/1711.07128 | @@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set | Metric | Value | |--------|-------| -| Accuracy | 0.934 | +| Accuracy | 0.941 | ## Performance | Platform | Optimized | diff --git a/models/keyword_spotting/ds_cnn_medium/tflite_int8/definition.yaml b/models/keyword_spotting/ds_cnn_medium/tflite_int8/definition.yaml index 461756b..c77867c 100644 --- a/models/keyword_spotting/ds_cnn_medium/tflite_int8/definition.yaml +++ b/models/keyword_spotting/ds_cnn_medium/tflite_int8/definition.yaml @@ -1,19 +1,20 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.934 + Accuracy: 94.13% description: 'This is a fully quantized version (asymmetrical int8) of the DS-CNN Medium model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' license: - Apache-2.0 network: - file_size_bytes: 200928 + file_size_bytes: 186288 filename: ds_cnn_m_quantized.tflite framework: TensorFlow Lite hash: algorithm: sha1 - value: c6923b02806224775b58ab9bc11e03e021ff407e + value: 740d32adde16948b2ab45e1e8c856de2925a05eb provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: hero#CORTEX-M network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490) diff --git a/models/keyword_spotting/ds_cnn_medium/tflite_int8/ds_cnn_m_quantized.tflite b/models/keyword_spotting/ds_cnn_medium/tflite_int8/ds_cnn_m_quantized.tflite index 51b48e1..e78eda4 100644 --- a/models/keyword_spotting/ds_cnn_medium/tflite_int8/ds_cnn_m_quantized.tflite +++ b/models/keyword_spotting/ds_cnn_medium/tflite_int8/ds_cnn_m_quantized.tflite @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:06a081f9a2a43c3a4a41833c54618af6d085a661bdd78a7768e6a8ab343b3d98 -size 200928 +oid sha256:b18433ec283fa9a70e9ecdfc9ec8c1083772d6ecdf99386120277d7c3f805b34 +size 186288 diff --git a/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_input/input/0.npy b/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_input/input/0.npy index 9969bf8..0b2b4dd 100644 --- a/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_input/input/0.npy +++ b/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_input/input/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:154389ea283a2c2b2c5f02eb249cb2c4a857b41755c21b27587913642fe12e44 -size 2088 +oid sha256:991d3cce2ffe40ea80f9d0ad255d3e2107fceba29f997b9fb45a85f63fbe8464 +size 618 diff --git a/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_output/Identity/0.npy b/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_output/Identity/0.npy index 8d6d596..47facf9 100644 --- a/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_output/Identity/0.npy +++ b/models/keyword_spotting/ds_cnn_medium/tflite_int8/testing_output/Identity/0.npy @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:b17bd272743503adc3969f72ac73046a876b5987b8ff1a1916d2dfbdee89681a -size 176 +oid sha256:c086137c23cf9f18b29ffa5f1e868c282ddd7ae733be37de1527e6f77ba3695c +size 140 diff --git a/models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml b/models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml index 13bb8a2..5e507b4 100644 --- a/models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml +++ b/models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml @@ -1,6 +1,6 @@ benchmark: Google Speech Commands test set: - Accuracy: 0.935 + Accuracy: 93.56% description: 'This is a fully quantized version (asymmetrical int8) of the DS-CNN Small model developed by Arm, with training checkpoints, from the Hello Edge paper. Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m' @@ -14,6 +14,7 @@ network: algorithm: sha1 value: cf24429e86a9647b1632c382894bc68d26d34039 provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m + quality_level: hero#CORTEX-M network_parameters: input_nodes: - description: The input is a processed MFCCs of shape (1, 490)