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yaml_config=""" | |
input_features: | |
- | |
name: Original_Title | |
type: text | |
level: word | |
encoder: t5 | |
reduce_output: null | |
- | |
name: Keyword | |
type: text | |
level: word | |
tied_weights: Original_Title | |
encoder: t5 | |
reduce_output: null | |
output_features: | |
- | |
name: Optimized_Title | |
type: sequence | |
level: word | |
decoder: generator | |
""" | |
with open("config.yaml", "w") as f: | |
f.write(yaml_config) |
I believe you should try to avoid data sets with formulas in cells.
Avoid cells with concatenate or other formulas and check file extension. I
believe it must be CSV
Marcus Bianco Lima
Consultor de Marketing Digital
(71) 991-129-175
Em qua., 8 de set. de 2021 02:25, Suvakanta8 ***@***.***>
escreveu:
… ***@***.**** commented on this gist.
------------------------------
Hii while I am trying to replace hootsuite_titles.csv dataset with my
website dataset I am getting a value error like this:
ValueError: A Concatenate layer requires inputs with matching shapes
except for the concat axis. Got inputs shapes: [(128, 32, 512), (128, 224,
512)]
please reply.......
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Thanks @marcusbianco can you please explain me how to prepare a dataset properly for training and the optimized score column in hootsuit dataset what is that ? Is that necessary for training?
@marcusbianco While I am using this data set https://docs.google.com/spreadsheets/d/e/2PACX-1vQeg6komuBq6U4Rn_SWFNXgGxXIL4fhQcdJp2A8p0B2pmiucvDG5SUpXEGKooJPaTPsN0ivIaCvqIad/pub?gid=0&single=true&output=csv
its running fine but just check this dataset also https://docs.google.com/spreadsheets/d/e/2PACX-1vSbe_3C_JV06TQvL-TR741o7goEycu0oGwO3kfJleawuDQEQiu2ZC2lpgeHhRQayJ4JoZe6PvbdCvbF/pub?gid=0&single=true&output=csv , while I am trying to run this one its throwing that value error... please guide me.. Kindly check and tell me the differences..
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Hii while I am trying to replace hootsuite_titles.csv dataset with my website dataset I am getting a value error like this:
ValueError: A Concatenate layer requires inputs with matching shapes except for the concat axis. Got inputs shapes: [(128, 32, 512), (128, 224, 512)]
please reply.......