link to the new experiment

charts.py

@@ -7,15 +7,12 @@ from streamlit_observable import observable
 
 def draw_current_progress():
     source = get_main_metrics()
-
+    st.title("")  # which is actually a backend-agnostic offset
     st.vega_lite_chart(
         source, {
             "height": 200,
-            "title": {
-                "text": "Training DALL-E with volunteers",
-                # ^-- WARNING: do not use long titles, otherwise vega collapses on small screens
-                "dy": 6,
-            },
+            "title": "Training DALL-E with volunteers",
+            # ^-- WARNING: do not use long titles, otherwise vega collapses on small screens
             "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
             "description": "Current training progress",
             "encoding": {"x": {"field": "wall time", "type": "temporal"}},
@@ -26,7 +23,8 @@ def draw_current_progress():
                     "mark": {"type": "line", "point": {"tooltip": True, "filled": False, "strokeOpacity": 0},
                              "color": "#85A9C5"},
                     "encoding": {
-                        "y": {"field": "training loss", "type": "quantitative", "axis": {"titleColor": "#85A9C5"}}},
+                        "y": {"field": "training loss", "type": "quantitative", "axis": {"titleColor": "#85A9C5"},
+                              "scale": {"zero": False}}},
                 },
                 {
                     "mark": {"type": "line", "point": {"tooltip": True, "filled": False, "strokeOpacity": 0.0},

dashboard_utils/main_metrics.py

@@ -7,7 +7,7 @@ import wandb
 
 from dashboard_utils.time_tracker import _log, simple_time_tracker
 
-WANDB_REPO = "learning-at-home/Main_metrics"
+WANDB_REPO = "learning-at-home/dalle-hivemind"
 CACHE_TTL = 120  # note: in the text, we claim that this plot is updated every few minutes