More name fixing

src/display/utils.py

@@ -113,7 +113,7 @@ class EvalQueueColumn:  # Queue column
 
 
 baseline_row = {
-    AutoEvalColumn.model.name: "<p>Baseline</p>",
+    AutoEvalColumn.model_name.name: "<p>Baseline</p>",
     # AutoEvalColumn.revision.name: "N/A",
     # AutoEvalColumn.precision.name: None,
     # AutoEvalColumn.merged.name: False,
@@ -138,7 +138,7 @@ baseline_row = {
 # GSM8K: paper
 # Define the human baselines
 human_baseline_row = {
-    AutoEvalColumn.model.name: "<p>Human performance</p>",
+    AutoEvalColumn.model_name.name: "<p>Human performance</p>",
     # AutoEvalColumn.revision.name: "N/A",
     # AutoEvalColumn.precision.name: None,
     # AutoEvalColumn.average.name: 92.75,

src/leaderboard/filter_models.py

@@ -1,7 +1,6 @@
 from src.display.formatting import model_hyperlink
 from src.display.utils import AutoEvalColumn
 
-
 # Models which have been flagged by users as being problematic for a reason or another
 # (Model name to forum discussion link)
 FLAGGED_MODELS = {
@@ -148,8 +147,8 @@ def flag_models(leaderboard_data: list[dict]):
                 f"See discussion #{issue_num}",
             )
             model_data[
-                AutoEvalColumn.model.name
-            ] = f"{model_data[AutoEvalColumn.model.name]} has been flagged! {issue_link}"
+                AutoEvalColumn.model_name.name
+            ] = f"{model_data[AutoEvalColumn.model_name.name]} has been flagged! {issue_link}"
             model_data[AutoEvalColumn.not_flagged.name] = False
         else:
             model_data[AutoEvalColumn.not_flagged.name] = True

src/leaderboard/read_evals.py

@@ -1,17 +1,15 @@
 import json
-from pathlib import Path
-from json import JSONDecodeError
 import logging
 import math
-
 from dataclasses import dataclass, field
-from typing import Optional, Dict, List
+from json import JSONDecodeError
+from pathlib import Path
+from typing import Dict, List, Optional
 
+import numpy as np
 from tqdm import tqdm
 from tqdm.contrib.logging import logging_redirect_tqdm
 
-import numpy as np
-
 from src.display.formatting import make_clickable_model
 from src.display.utils import AutoEvalColumn, ModelType, Precision, Tasks, WeightType, parse_datetime
 
@@ -174,7 +172,7 @@ class EvalResult:
             AutoEvalColumn.model_type_symbol.name: self.model_type.value.symbol,
             AutoEvalColumn.weight_type.name: self.weight_type.value.name,
             AutoEvalColumn.architecture.name: self.architecture,
-            AutoEvalColumn.model.name: make_clickable_model(self.full_model),
+            AutoEvalColumn.model_name.name: make_clickable_model(self.full_model),
             AutoEvalColumn.fullname.name: self.full_model,
             AutoEvalColumn.revision.name: self.revision,
             AutoEvalColumn.average.name: average,