cannot reproduce paper results with default configuration

[JoursBleu]

We are using docker image “nvcr.io/nvidia/pytorch:22.03-py3” from NVIDIA
git clone https://github.com/sj-li/MS-TCN2.git
cd MS-TCN2
ln -s $data_path dat
# dataset in breakfast, 50salads, gtea
# split in (1-5) for 50salads and (1-4) for the other datasets
python3 main.py --action=train --dataset=$dataset --split=$split --num_epochs=100 --num_layers_PG=11 --num_layers_R=10 --num_R=3

The results in paper which is in TABLE 16:

And all the results mismatch with paper somehow:

<style> </style>

	F1 0.10	F1 0.25	F1 0.50	Edit	Acc
50salads split 1	73.4	70.1	60.2	64.2	76.7
50salads split 2	72.2	69.2	59.8	64.1	81.7
50salads split 3	71.5	68.4	62.3	66.3	75.2
50salads split 4	79.3	77.0	69.1	71.6	83.3
50salads split 5	80.2	77.8	72.6	71.5	86.7
gtea split 1	80.1	77.4	64.6	71.5	74.4
gtea split 2	83.7	81.0	70.1	76.6	78.3
gtea split 3	90.6	89.1	79.2	88.2	79.2
gtea split 4	87.9	85.6	70.5	83.1	74.9

Are these mismatch reasonable, or did I miss any configuration?

[rickywrq]

@JoursBleu Have you figured out what is the reason for that?