diff --git a/Jun30_21-37-32_todziedzic/events.out.tfevents.1593545853.todziedzic.4022.0 b/Jun30_21-37-32_todziedzic/events.out.tfevents.1593545853.todziedzic.4022.0
new file mode 100644
index 00000000..e69de29b
diff --git a/our_scripts/config.yml b/our_scripts/config.yml
index 584fb451..c6c5f246 100644
--- a/our_scripts/config.yml
+++ b/our_scripts/config.yml
@@ -1,21 +1,22 @@
 train:
-  epochs: 600
-  batch-size: 8
+  epochs: 1200
+  batch-size: 3
   cfg: ./cfg/yolov3-spp-19cls.cfg
   data: ./data/widok_01_19.data
   multi-scale: false
-  img-size: '512 960'
-  rect: false
-  resume: true
+  img-size: '512 1920'
+  rect: true
+  resume: false
   nosave: false
   notest: false
   evolve: false
   bucket:
   cache-images: false
-  weights: /home/tomekb/yolov3/weights/last.pt
+  weights: /home/tomekb/yolov3/weights/yolov3-spp-ultralytics.pt
   device: 1
   adam: true
   single-cls: false
+  save-every-nth-epoch: 50
 
   # inne hiperparametry
   other-hyps:
@@ -42,7 +43,7 @@ experiments:
   dir: ./experiments
 detect:
   source: /home/tomekb/yolov3/data/widok_01_19/widok_01_19_test_labels.txt
-  test-img-size: 1024
+  test-img-size: 1920
   conf-thres: 0.3
   iou-thres: 0.6
   classes:
diff --git a/train.py b/train.py
index 0a9f536a..fc967146 100644
--- a/train.py
+++ b/train.py
@@ -349,12 +349,15 @@ def train(hyp):
                          'model': ema.ema.module.state_dict() if hasattr(model, 'module') else ema.ema.state_dict(),
                          'optimizer': None if final_epoch else optimizer.state_dict()}
 
+            if epoch % opt.save_every_nth_epoch == 0:
+                torch.save(chkpt, f'yolo_{epoch}.pt')
             # Save last, best and delete
             torch.save(chkpt, last)
             if (best_fitness == fi) and not final_epoch:
                 torch.save(chkpt, best)
             del chkpt
 
+
         # end epoch ----------------------------------------------------------------------------------------------------
     # end training
 
@@ -397,9 +400,10 @@ if __name__ == '__main__':
     parser.add_argument('--device', default='', help='device id (i.e. 0 or 0,1 or cpu)')
     parser.add_argument('--adam', action='store_true', help='use adam optimizer')
     parser.add_argument('--single-cls', action='store_true', help='train as single-class dataset')
+    parser.add_argument('--save-every-nth-epoch', type=int, help='Saving every n-th epoth')
     opt = parser.parse_args()
     #opt.weights = last if opt.resume else opt.weights
-    check_git_status()
+    #check_git_status()
     opt.cfg = check_file(opt.cfg)  # check file
     opt.data = check_file(opt.data)  # check file
     #print(opt)