HiTUT
HiTUT copied to clipboard
Reproduced results are very poor
Hello @594zyc, I want to leverage HiTUT as my research baseline but I can not reproduce the performance of your pretrained weight. Here are my results:
|  Valid seen | Valid unseen | |||
|---|---|---|---|---|
| SR (PW) | GC (PW) | SR (PW) | GC (PW) | |
| Pretrained | 30.12(16.81) | 39.73(22.72) | 14.13(6.85) | 26.18(12.78) |
| Reproduce 1 (8 epochs) |
10.73(4.73) | 18.97(10.52) | 4.26(1.69) | 15.19(6.23) |
| Reproduce 2 (early stop, 9 epochs) |
16.83(8.87) | 24.99 (14.49) | 4.87 (2.12) | 13.73 (6.60) |
The training command is the same as metioned in README. Did I miss any important details?
Great thanks!
What was the command you used for evaluation? In particular, did you set --max_high_fails 9?
@594zyc Thanks for your response. Here are my evaluation commands:
python models/eval/eval_mmt.py --eval_path exp/mymodel/noskip_lr_mix_all_E-xavier768d_L12_H768_det-sep_dp0.1_di0.1_step_lr5e-05_0.999_type_sd999 --ckpt model_best_seen.pth --gpu --max_high_fails 9 --max_fails 10 --eval_split valid_seen --eval_enable_feat_posture --num_threads 4 --name_temp eval_valid_seen
python models/eval/eval_mmt.py --eval_path exp/mymodel/noskip_lr_mix_all_E-xavier768d_L12_H768_det-sep_dp0.1_di0.1_step_lr5e-05_0.999_type_sd999 --ckpt model_best_unseen.pth --gpu --max_high_fails 9 --max_fails 10 --eval_split valid_unseen --eval_enable_feat_posture --num_threads 4 --name_temp eval_valid_unseen
The --max_high_fails was set to 9.