Getting output/Stopping training mid-process #592
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Yes. Simply lower That's what's in charge of the checkpoints. I usually set mine to 100 so I can see faster updates when using the Tensorboard (since it has an audio tab and is doing validation / inference on 2 files there)
Even if it reaches the max epoch you can just go into the config (main folder -> configs\44k\config.json) and increase it so you can train it further |
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Hi, I am currently training for 3125 epochs and eval_interval set to 12500 steps (half of the total)
I got the model from step 12500 and its almost good, but I would like it to be trained a little longer. But I also don't want to sit through the rest of the training.
So I am wondering if there is a way to somehow force the training to stop and output the model as it is instead of waiting to reach the eval_interval steps. (And perhaps continue the training later?)
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