Created
June 15, 2018 12:40
-
-
Save mdouze/2bc5da096a4ed0ee69a05ac98c56cc0d to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| (fair_env) matthijs@devfair0144:~/src/low-shot-with-diffusion$ python logreg.py --mode test --nlabeled 2 --seed 1 --maxiter 29500 --lr 0.001 --wd 0.01 --batchsize 128 | |
| nb of eval classes 311 | |
| /public/apps/anaconda2/5.0.1/envs/fair_env/lib/python2.7/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. | |
| from ._conv import register_converters as _register_converters | |
| open /checkpoint/matthijs/low-shot/features/val.hdf5 | |
| read /checkpoint/matthijs/low-shot/features/val_features.npy | |
| features loaded in 2.880 s | |
| nb of eval classes 311 | |
| open /checkpoint/matthijs/low-shot/features/train.hdf5 | |
| read /checkpoint/matthijs/low-shot/features/train_features.npy | |
| features loaded in 68.417 s | |
| selecting images, seed=1 | |
| dataset sizes: Xtr (250860, 2048) (250860 labeled), Xte (25350, 2048), 507 classes (eval on 25350 examples, 507 classes, 311 novel classes) | |
| ============== start logreg | |
| logreg.py:107: UserWarning: Implicit dimension choice for log_softmax has been deprecated. Change the call to include dim=X as an argument. | |
| return F.log_softmax(self.l1(x)) | |
| 0.025084982872 | |
| 6.20095642092 | |
| 6.06771154991 | |
| 5.92883865873 | |
| 5.79343245874 | |
| 5.66283695742 | |
| 5.5329569634 | |
| 5.40713169171 | |
| 5.28074271397 | |
| 5.16166630091 | |
| 5.03845827656 | |
| 4.92353282533 | |
| 4.80592244407 | |
| 4.6860298699 | |
| 4.5779072198 | |
| 4.46372476223 | |
| 4.3541482833 | |
| 4.25072629431 | |
| 4.1439837419 | |
| 4.04272760276 | |
| 3.94442317322 | |
| 3.85027416224 | |
| 3.75703827063 | |
| 3.65755777724 | |
| 3.56684669553 | |
| 3.48459247511 | |
| 3.3957052346 | |
| 3.32090998366 | |
| 3.23577628662 | |
| 3.15135820504 | |
| 3.08178561703 | |
| 2.99940180194 | |
| 2.93062312268 | |
| 2.86213091482 | |
| 2.79963234479 | |
| 2.73306129462 | |
| 2.6664646196 | |
| 2.60899042426 | |
| 2.55377942561 | |
| 2.49447850049 | |
| 2.43557271345 | |
| 2.38170072621 | |
| 2.32763882441 | |
| 2.27615750877 | |
| 2.23852747132 | |
| 2.18326326763 | |
| 2.14415860527 | |
| 2.09311960936 | |
| 2.05569484017 | |
| 2.01933530192 | |
| 1.98056203133 | |
| 1.94637428153 | |
| 1.90737477299 | |
| 1.85906640226 | |
| 1.83698344905 | |
| 1.80718957187 | |
| 1.76976152394 | |
| 1.73807740991 | |
| 1.71130809595 | |
| [92.456s] iteration 29500 top-5 accuracy: 0.700 (0.565 on novel) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment