Colab pro plus notebook disconnected after 13 hours of training - google-colaboratory

I took the colab pro plus offer and last night I wanted to train a model for 15 hours. But the notebook is disconnected after 13 hours. So I lost all my checkpoints and I have to start training again. I took the colab pro plus offer to avoid these inconveniences. How is it that this happened despite the colab pro plus offer? What can I do to prevent this from happening again?

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Colab pro gives a ^c after 2 hours of executing a cell

I have been using Google Colab pro to train a yolov4 model. Previously, I was able to run training for more than 12-15 hours easily, but off late, the cell executing the training stops after one or two hours with a "^C" .
Any ideas how I can avoid this or why this might be happening?

Colab pro very slow

I am using colab pro to train a model, and it is endless despite of a simple regression model.
I am set on CPU and elevated ram but still super slow.
My file comes from my google drive, could be the problem here ?
Thanks,

Google Colab - Session Crashed error while training

I am trying to train a model on around 4500 text sentences. The embedding is however heavy. The session crashes for number of training clauses > 350. It works fine and displays results till 350 sentences though.
Error message:
Your session crashed after using all available RAM.
Runtime type - GPU
I have hereby attached the screenshot of logs.
I am considering training model by batches, but I am a newbie and finding it difficult to have my way around it. Any help will be appreciated. session logs attached
This is basically because of out of memory on Google colab.
Google colab provides ~12GB Free RAM, to extend it 25 GB follow the instruction mentioned here.

Number of Active Sessions Google Colab Pro

The free version of Google Colab is limited in the number of active sessions that can be running at the same time. For example, I can only train two ML models at the same time.
I wanted to know if Google Colab Pro extends the number of available active sessions such that I can train multiple models at the same time.
Thanks!
Yup, the limit in Colab Pro is higher. Presently, you can use 4 standard GPU backends and 4 high-memory GPU backends concurrently.

How can I keep the gpu running for more than 12 hours in google colaboratory?

I am trying to train a model on google colaboratoy but the problem is that the GPU gets disconnected after 12 hours and hence I am not able to train my model beyond a certain point. Is there a way to keep GPU connected for longer times?