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When the training model is successfully restarted, the start-up service fails to find the model. #63
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@Spring1212, the size of vocabulary that you are trying to use is only 26 tokens - not good. Apparently you rewrote the default vocabulary file by running |
Is this due to too little training data? |
Can adding training data avoid this problem? |
You got a different index files because apparently you run If you just want to use our pretrained model without finetuning on you own data, you don't need to run And in case you do want to tune our model or to train your own from scratch, please, read carefully the corresponding sections from our Readme: https://github.com/lukalabs/cakechat#training-the-model |
Is this still a pre-training model? |
Seems like I got the problem: the server is trying to use a reverse model for Option 1: change Option 2: run In either case, please, note that you'll need to use a larger training set with larger vocabulary to get any meaningful results after training. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
The custom training model was successful, and an error occurred when running the python bin/cakechat_server.py command to start the service.
The operating system is Centos7.
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