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I was going through the codes you uploaded but struggled to reproduce the reported success rate on the 'valid_seen' dataset.
Although it should show 47.8% success rate (which is reported in the paper), it only shows about 24.77% success rate. INFO:root:266m 48s (- -63m 31s) (1311 130%) reward -0.0891, SR 0.2477, pws 0.1536
I guess I have properly downloaded the checkpoints of the et_checkpoint for the obj_predictor(maskrcnn_model.pth), questioner(questioner_anytime_finetuned.pt), and performer(latest.pth). When generating the lmdb datset only for the valid_seen dataset, there were no errors observed. (I haven't done the fine-tuning of the performer nor questioner yet.)
Could you suggest some methods for me to obtain the desired success results?
The text was updated successfully, but these errors were encountered:
Hi, thanks for your outstanding research!
I was going through the codes you uploaded but struggled to reproduce the reported success rate on the 'valid_seen' dataset.
Although it should show 47.8% success rate (which is reported in the paper), it only shows about 24.77% success rate.
INFO:root:266m 48s (- -63m 31s) (1311 130%) reward -0.0891, SR 0.2477, pws 0.1536
I guess I have properly downloaded the checkpoints of the et_checkpoint for the obj_predictor(maskrcnn_model.pth), questioner(questioner_anytime_finetuned.pt), and performer(latest.pth). When generating the lmdb datset only for the valid_seen dataset, there were no errors observed. (I haven't done the fine-tuning of the performer nor questioner yet.)
Could you suggest some methods for me to obtain the desired success results?
The text was updated successfully, but these errors were encountered: