Odd output in eval.json after training

[yaseryacoob]

I ran the training (locally), and got this in the train folder (after about 6 hours or so)., see the eval.json

I tried to run the training again and got

rastervision run local -e idb.experiment
Ensuring input files exist [####################################] 100%
Checking for existing output [####################################] 100%
make: Nothing to be done for 'all'.

-rwxrwxrwx 1 root root 214 May 13 16:24 checkpoint
-rwxrwxrwx 1 root root 2339 May 13 16:23 command-config.json
-rwxrwxrwx 1 root root 6580271 May 13 16:24 events.out.tfevents.1589387049.473fba7942a9
-rwxrwxrwx 1 root root 6040812 May 13 16:24 graph.pbtxt
-rwxrwxrwx 1 root root 9396911 May 13 16:24 model
-rwxrwxrwx 1 root root 18273184 May 13 16:24 model.ckpt-0.data-00000-of-00001
-rwxrwxrwx 1 root root 19819 May 13 16:24 model.ckpt-0.index
-rwxrwxrwx 1 root root 3047854 May 13 16:24 model.ckpt-0.meta
-rwxrwxrwx 1 root root 18273184 May 13 16:24 model.ckpt-1.data-00000-of-00001
-rwxrwxrwx 1 root root 19819 May 13 16:24 model.ckpt-1.index
-rwxrwxrwx 1 root root 3047854 May 13 16:24 model.ckpt-1.meta
-rwxrwxrwx 1 root root 25766277 May 13 16:24 multi-city.tar.gz

and the eval.json is odd

{
"per_scene": {
"paramaribo_test": [
{
"class_id": 1,
"recall": 0.003331903803648599,
"count_error": 86282.08435984561,
"f1": 0.006492213956561171,
"precision": 0.14688042062753656,
"gt_count": 151565,
"class_name": "Building"
},
{
"class_id": 2,
"recall": 0.8396761416426244,
"count_error": 140247.57092749514,
"f1": 0.8733388716556868,
"precision": 0.9171078731191155,
"gt_count": 1431490,
"class_name": "Background"
},
{
"class_id": null,
"recall": 0.7596027933331441,
"count_error": 135080.80226081848,
"f1": 0.7903451578086202,
"precision": 0.8433646842615671,
"gt_count": 1583055,
"class_name": "average"
}
]
},
"overall": [
{
"class_id": 1,
"recall": 0.003331903803648599,
"count_error": 86282.08435984561,
"f1": 0.006492213956561171,
"precision": 0.14688042062753656,
"gt_count": 151565,
"class_name": "Building"
},
{
"class_id": 2,
"recall": 0.8396761416426244,
"count_error": 140247.57092749514,
"f1": 0.8733388716556868,
"precision": 0.9171078731191155,
"gt_count": 1431490,
"class_name": "Background"
},
{
"class_id": null,
"recall": 0.7596027933331441,
"count_error": 135080.80226081848,
"f1": 0.7903451578086202,
"precision": 0.8433646842615671,
"gt_count": 1583055,
"class_name": "average"
}
]
}