Ben Athiwaratkun

Hi, Thank you for the response! I used the suggested command 'python python -m experiments.imagenet_valid'. All the code was from the latest repo commit. I'm using python3.6, pytorch 0.3.1.post2, numpy...

Thank you. I managed to get it training with 8 GPUs. Not sure what the issue was really. However, I'm getting Prec@1 0.000 (0.072) Prec@5 0.625 (0.373) or sometimes Prec@5...

Thank you so much! That would be very much appreciated!

This is what I got when the training started. ``` Using these command line args: --batch-size 320 --labeled-batch-size 160 --lr 0.2 --labels data-local/labels/ilsvrc2012/128000_balanced_labels/00.txt --workers 20 --checkpoint-epochs 1 --evaluation-epochs 1 --dataset...

Thank you so much for checking with the company. Do you think you have the resources to train the imagenet experiment and release the pre-trained model? That would really help!...

Hi, Thanks for your detailed response. The console log indicates that at Epoch 31 the prediction accuracy is still 0% for both prec@1 and prec@5. My training does not seem...

Also if you could provide the pip requirements from ``pip freeze`` and/or conda environment details for ``conda list -e`` that would be most helpful! Thank you.

I also have not been able to get ImageNet training to run successfully. I tried switching to MSE consistency loss instead of KL and I didn't get any loss explosion...

Hi, Thank you for the comment. Could you copy and paste the actual error messages?

Thank you. Could you also list the model files that have been saved from your training?