Why did I test the slowfast model officially provided and get a very low or wrong mAp (0.039) on the ava dataset? Do you have any ideas or suggestions?

When I was testing the official model (downloaded from Model ZOO), I got the wrong mAp, do you have any ideas or suggestions?
The yaml file I use is as follows :(https://github.com/facebookresearch/SlowFast/blob/main/configs/AVA/c2/SLOWFAST_32x2_R101_50_50.yaml):
```
TRAIN:
ENABLE: False
DATASET: ava
BATCH_SIZE: 16
EVAL_PERIOD: 1
CHECKPOINT_PERIOD: 1
AUTO_RESUME: True
# CHECKPOINT_FILE_PATH: path to pretrain model
CHECKPOINT_TYPE: pytorch
DATA:
NUM_FRAMES: 32
SAMPLING_RATE: 2
TRAIN_JITTER_SCALES: [256, 320]
TRAIN_CROP_SIZE: 224
TEST_CROP_SIZE: 256
INPUT_CHANNEL_NUM: [3, 3]
PATH_TO_DATA_DIR: '/media/dsd/0c13c20e-65ea-4dbd-bd5a-146423aba7af/cpz/ava'
DETECTION:
ENABLE: True
ALIGNED: False
AVA:
FRAME_DIR: '/media/dsd/0c13c20e-65ea-4dbd-bd5a-146423aba7af/cpz/ava/frames'
FRAME_LIST_DIR: '/media/dsd/0c13c20e-65ea-4dbd-bd5a-146423aba7af/cpz/ava/frame_lists'
ANNOTATION_DIR: '/media/dsd/0c13c20e-65ea-4dbd-bd5a-146423aba7af/cpz/ava/annotations'
BGR: False
DETECTION_SCORE_THRESH: 0.8
TEST_PREDICT_BOX_LISTS: ["person_box_67091280_iou90/ava_detection_val_boxes_and_labels.csv"]
SLOWFAST:
ALPHA: 4
BETA_INV: 8
FUSION_CONV_CHANNEL_RATIO: 2
FUSION_KERNEL_SZ: 5
RESNET:
ZERO_INIT_FINAL_BN: True
WIDTH_PER_GROUP: 64
NUM_GROUPS: 1
DEPTH: 101
TRANS_FUNC: bottleneck_transform
STRIDE_1X1: False
NUM_BLOCK_TEMP_KERNEL: [[3, 3], [4, 4], [6, 6], [3, 3]]
SPATIAL_DILATIONS: [[1, 1], [1, 1], [1, 1], [2, 2]]
SPATIAL_STRIDES: [[1, 1], [2, 2], [2, 2], [1, 1]]
NONLOCAL:
LOCATION: [[[], []], [[], []], [[6, 13, 20], []], [[], []]]
GROUP: [[1, 1], [1, 1], [1, 1], [1, 1]]
INSTANTIATION: dot_product
POOL: [[[2, 2, 2], [2, 2, 2]], [[2, 2, 2], [2, 2, 2]], [[2, 2, 2], [2, 2, 2]], [[2, 2, 2], [2, 2, 2]]]
BN:
USE_PRECISE_STATS: False
NUM_BATCHES_PRECISE: 200
SOLVER:
MOMENTUM: 0.9
WEIGHT_DECAY: 1e-7
OPTIMIZING_METHOD: sgd
MODEL:
NUM_CLASSES: 80
ARCH: slowfast
MODEL_NAME: SlowFast
LOSS_FUNC: bce
DROPOUT_RATE: 0.5
HEAD_ACT: sigmoid
TEST:
ENABLE: True
DATASET: ava
BATCH_SIZE: 2
CHECKPOINT_FILE_PATH: '/media/dsd/0c13c20e-65ea-4dbd-bd5a-146423aba7af/cpz/SlowFast-main/configs/AVA/c2/SLOWFAST_32x2_R101_50_50T.pkl'
CHECKPOINT_TYPE: caffe2
DATA_LOADER:
NUM_WORKERS: 2
PIN_MEMORY: True
NUM_GPUS: 2
NUM_SHARDS: 1
RNG_SEED: 0
OUTPUT_DIR: .
```
Here are my result: