8/10: to-do
- finish the training of model version 5 which keep training until manually stop (make some graphs)
- start a new training for classification
- continue working on method
current status
the 4th version of model already preform quite well in the inter-test set:
- according to the test, $r^2$ value is $0.74$ almost hit the $0.75$, but it starts to have potential of overfitting
Because the 4th version of model stop at 200 epochs and I forgot to save the $r^2$ value for training set. So, I start a new training with 2000 epochs and show the status in real-time with TensorBoard and also start to save the model every 100 epoch.
need to do tomorrow
- evaluate the new model and draw figures with the model
notice
- start to use TensorBoard in the code, so when you want to check the figures, pls use ssh to translate the port first with:
- notice: when starting the TensorBoard don’t forget to use
--logdir=dir
to set the dir which save the data
- notice: when starting the TensorBoard don’t forget to use
1 | ssh -L yourport:yourip:serverport username@serverip |
- when run the code with nohup the full sentence should be:
1 | nohup cmd > outputfile 2>&1 & |
figures and reference for paper
- NaN