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About using the Sentcap dataset and setting parameters for train.py #10
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Thank you for your interest in our work. Generally, I recommend using the default hyperparameters as a starting point, which are the values defined in the arg-parser. The number of epochs may depend on the size of the dataset, so I suggest training for approximately 20 epochs, but then choose the weights from the epoch where the test error begins to increase. |
Thank you very much for your reply. |
Hello, I also need to use the Senticap dataset, but I don't know how to use it. I would like to ask for your advice. Thank you |
You can use the pre trained weights provided by the author, and then use the SentiCap dataset for fine-tuning. |
OK,thank you very much |
Dear author, I would like to use this code on the Senticap dataset. May I ask for the parameter settings for train.py, such as the number of epochs, the backbone of CLIP, noise_ variance et al
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