Hello author, thank you very much for your excellent work. When reproducing your work on VARD-LSTM, I found that the final evaluation results were significantly different from those in the paper. Is it due to improper hyperparameter adjustment in my code.
------------total best result-------------
Bleu_1: 0.8119937166969288 (VARD_LSTM_sents_10000)
Bleu_2: 0.7146867399855552 (VARD_LSTM_sents_10000)
Bleu_3: 0.607167302534587 (VARD_LSTM_sents_10000)
Bleu_4: 0.501129337888555 (VARD_LSTM_sents_10000)
METEOR: 0.37019701808632294 (VARD_LSTM_sents_10000)
ROUGE_L: 0.7123329852940745 (VARD_LSTM_sents_8000)
CIDEr: 1.2406653197967612 (VARD_LSTM_sents_10000)
SPICE: 0.27101163641844034 (VARD_LSTM_sents_10000)
Hello author, thank you very much for your excellent work. When reproducing your work on VARD-LSTM, I found that the final evaluation results were significantly different from those in the paper. Is it due to improper hyperparameter adjustment in my code.
------------total best result-------------
Bleu_1: 0.8119937166969288 (VARD_LSTM_sents_10000)
Bleu_2: 0.7146867399855552 (VARD_LSTM_sents_10000)
Bleu_3: 0.607167302534587 (VARD_LSTM_sents_10000)
Bleu_4: 0.501129337888555 (VARD_LSTM_sents_10000)
METEOR: 0.37019701808632294 (VARD_LSTM_sents_10000)
ROUGE_L: 0.7123329852940745 (VARD_LSTM_sents_8000)
CIDEr: 1.2406653197967612 (VARD_LSTM_sents_10000)
SPICE: 0.27101163641844034 (VARD_LSTM_sents_10000)