Update ResNet tutorial (#317)

Co-authored-by: ioangatop <[email protected]>

docs/user-guide/tutorials/evaluate_resnet.md

@@ -21,18 +21,18 @@ Now let's adapt the new `bach.yaml`-config to the new model:
         path: timm.create_model
         arguments:
           model_name: resnet18
-          num_classes: &NUM_CLASSES 2
+          num_classes: &NUM_CLASSES 4
           drop_rate: 0.0
           pretrained: false
 ```
-To reduce training time, lets overwrite some of the default parameters. In the terminal where you run ***eva***, set:
+To reduce training time, lets overwrite some of the default parameters. In the terminal where you run *eva*, set:
 ```
 export OUTPUT_ROOT=logs/resnet/bach
-export MAX_STEPS=20
-export LR_VALUE=0.1
+export MAX_STEPS=50
+export LR_VALUE=0.01
 ```
 Now train and evaluate the model by running:
 ```
 eva fit --config configs/vision/resnet18/bach.yaml
 ```
-Once the run is complete, take a look at the results in `logs/resnet/bach/<session-id>/results.json`. How does the performance compare to the results observed in the previous tutorials?
+Once the run is complete, take a look at the results in `logs/resnet/bach/<session-id>/results.json` and check out the tensorboard with `tensorboard --logdir logs/resnet/bach`. How does the performance compare to the results observed in the previous tutorials?