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Diffstat (limited to 'models')
| -rw-r--r-- | models/finetune_flickr_style/readme.md | 11 |
1 files changed, 6 insertions, 5 deletions
diff --git a/models/finetune_flickr_style/readme.md b/models/finetune_flickr_style/readme.md index c08485f7..d2a8a95f 100644 --- a/models/finetune_flickr_style/readme.md +++ b/models/finetune_flickr_style/readme.md @@ -3,16 +3,17 @@ name: Finetuning CaffeNet on Flickr Style caffemodel: finetune_flickr_style.caffemodel caffemodel_url: http://dl.caffe.berkeleyvision.org/finetune_flickr_style.caffemodel license: non-commercial -sha1: 443ad95a61fb0b5cd3cee55951bcc1f299186b5e -caffe_commit: 41751046f18499b84dbaf529f64c0e664e2a09fe +sha1: b61b5cef7d771b53b0c488e78d35ccadc073e9cf +caffe_commit: 737ea5e936821b5c69f9c3952d72693ae5843370 gist_id: 034c6ac3865563b69e60 --- This model is trained exactly as described in `docs/finetune_flickr_style/readme.md`, using all 80000 images. -The final performance on the test set: +The final performance: - I0903 18:40:59.211707 11585 caffe.cpp:167] Loss: 0.407405 - I0903 18:40:59.211717 11585 caffe.cpp:179] accuracy = 0.9164 + I1017 07:36:17.370688 31333 solver.cpp:228] Iteration 100000, loss = 0.757952 + I1017 07:36:17.370730 31333 solver.cpp:247] Iteration 100000, Testing net (#0) + I1017 07:36:34.248730 31333 solver.cpp:298] Test net output #0: accuracy = 0.3916 ## License |