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@@ -238,3 +238,4 @@
 {"timestamp": "2024-02-15T01:57:56", "model name": "nateraw/vit-age-classifier", "dataset name": "facebook/winoground", "run_id": "5bc2239c-c1f5-4d60-94e8-cfe666856464", "duration": 379.0979506969452, "num_queries": 0, "emissions": 0.0057624449614273, "energy": 0.0156106970972315, "region": "virginia", "gpu_count": 1, "gpu_model": "1 x Tesla T4"}
 {"timestamp": "2024-02-15T02:04:25", "model name": "Kaludi/food-category-classification-v2.0", "dataset name": "facebook/winoground", "run_id": "a3b16cd7-5699-4ed5-a0ab-bb18b19b0476", "duration": 381.1089978218079, "num_queries": 0, "emissions": 0.005812167483137, "energy": 0.0157453974250465, "region": "virginia", "gpu_count": 1, "gpu_model": "1 x Tesla T4"}
 {"timestamp": "2024-02-15T02:10:39", "model name": "nateraw/food", "dataset name": "facebook/winoground", "run_id": "0472d528-652b-44f5-b0ae-f4190d8e7a36", "duration": 365.4153280258178, "num_queries": 0, "emissions": 0.0055589953133639, "energy": 0.0150595437497, "region": "virginia", "gpu_count": 1, "gpu_model": "1 x Tesla T4"}
+{"timestamp": "2024-02-15T02:16:45", "model name": "microsoft/resnet-18", "dataset name": "facebook/winoground", "run_id": "f46e1845-46a3-49e9-9072-4a0b95dae67e", "duration": 359.2841787338257, "num_queries": 0, "emissions": 0.0054527228100744, "energy": 0.0147716472283934, "region": "virginia", "gpu_count": 1, "gpu_model": "1 x Tesla T4"}