Index out of range error about returnn HOT 6 CLOSED

Hi,

this is most probably a problem with the number of labels. Does your dataset use a different number of labels/characters? Please check if this is correct in the config.

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Thanks..That worked. Also I want to ask if we can train only a few layers from the original model(transfer learning)?

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There is a parameter which you can add in the layer definition in json, I think you have to set "trainable": false for the layers which should not be updated.
Please have a try, and maybe check the code for some details.
If it doesn't work, feel free to post again here.

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Hi, Thank you for the reply. I dont understand following parameters that are used in config_real:

• "max_seqs": 10,
• "nadam": 1,
• "reinit": 0,
• "log_verbosity": 5,

Further, If training is interrupted at some step, how can i continue from the previous saved model? can i do it with task = forward or else?

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Hi,

max_seqs is an upper bound on the number of sequences (i.e. images in your case), which are processed together in one mini-batch
nadam: 1 means, that Adam with Nesterov momentum is used as the optimizer
reinit: 0 there I'm not sure what exactly it does, better just leave it like this
log_verbosity: 5 controls how many messages are printed to the log. 5 is the highest verbosity, so everything will be printed. You can reduce it if you want less output

I think the default behaviour should be to continue the training if a previous model is available

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Thank you very much for the prompt reply.

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