khoinpd0411

Hi, Thank you so much for your response! I've tried with --group_y_candidate_topk in your config (also for all others parameters), however, the result seems quite different compared to the reported...

This is my configuration: python src/main.py --lr 1e-4 --epoch 15 --dataset amazon670k --swa --swa_warmup 4 --swa_step 3000 --batch 16 --max_len 128 --eval_step 3000 --group_y_candidate_num 2000 --group_y_candidate_topk 75 --valid --hidden_dim 400...

Oh i see, thank you so much for your response! Running the evaluation mode returns the precision in validation set with some files related to test set result: i.e amazon670k_t0-labels.npy...

Thanks a lot! And just a small question: About training time, running with 15 epochs for single model only costs for 15 hours, which is far less than reported in...