Issues with training

Hi,

In a previous post I expressed I was having issues with the amount of time it took me to train the model.

I tried the model suggested on the assignment, but the training was still progressing too slow to make it happen in a reasonable time. I have a model achieving a similarity index of 0.55, so I decided to give it a go, and see if I could train it for a couple of days.

Now, for what I’ve seen there seems to be a relationship with the lost function and the similarity index. Could anyone tell me to what loss the trained their model before being able to pass the test. The model I mentioned above is below 270, so I suspect that if I take to 200 it might be able to pass.

Additionally, I am facing issues with the processor. With each epoch the ram is going down. I didn’t have this issue before, and it started to happen without any changes with the code. I dig a little, and there was an issue with memory leakage, but to fix it, the fit and compile methods need to be used.

I’m stuck here. So I need help again.

Thanks.

What is the name of the assignment notebook you are working on?

Please verify you are using the Coursera Labs environment.

Hi, sorry. I missed your reply. The thing is that I’m not getting access to the Coursera Labs. I don’t know why. The only option I get is a link to Colab.

The MLS course does not use Colab.

Are you posting in the correct Forum topic?

No, my mistake. Sorry.

you placed your query in incorrect course category. The learner’s query is related to his other query he already created. So I am closing this thread to avoid any confusion.