Successful Training done on Custom dataset, but have some Question about the output

Hello everyone, i hope you all are doing well. i have successfully done slowfast training with MVitv2 on my custom dataset Details of my training are given below.

i used MVITv2_B_32x3.yaml and followed this structure below.

SlowFast/
├── configs/
│ └── MyData/
│ └── MVITv2_B_32x3.yaml
├── data/
│ └── MyData/
│ ├── ClassA/
│ │ └── ins.mp4
│ ├── ClassB/
│ │ └── kep.mp4
│ ├── ClassC/
│ | └── tak.mp4
│ ├── train.csv
│ ├── test.csv
│ ├── val.csv
│ └── classids.json
├── slowfast/
│ └── datasets/
│ ├── __init__.py
│ ├── mydata.py
│ └── ...
└── ...
all this fine-tuning guidance on your custom dataset is already explained by @AlexanderMelde [here] (https://github.com/facebookresearch/SlowFast/issues/149) thanks to him for his guidance.

My question is I am getting this output in the end,
**train_net.py: 759: training done: _p50.93_f225.17 _t12.31_m10.69 _a25.00 Top5 Acc: 66.67 MEM: 10.69 f: 225.1698**
Can somebody explain this output to me, _p50.93_f225.17 _t12.31_m10.69 and MEM: 10.69 and f: 225.1698