Upload test_api_push_to_hub_mixin/benchmark.json with huggingface_hub

test_api_push_to_hub_mixin/benchmark.json

@@ -68,14 +68,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "bf00581ca84403c7aba5a4a8f646e796f7b72599",
+            "optimum_benchmark_commit": "c895bf73a88625eb69457460ea71175ef52a6cb9",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -94,7 +94,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 897.2288,
+                "max_ram": 897.654784,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -103,29 +103,29 @@
             "latency": {
                 "unit": "s",
                 "count": 10,
-                "total": 1.0511833840000122,
-                "mean": 0.10511833840000122,
-                "stdev": 0.03236564746353614,
-                "p50": 0.0796196885000029,
-                "p90": 0.1481826228000102,
-                "p95": 0.14835579990001121,
-                "p99": 0.148494341580012,
+                "total": 1.0192144819999953,
+                "mean": 0.10192144819999953,
+                "stdev": 0.03124154751926769,
+                "p50": 0.07842570049999154,
+                "p90": 0.1476816399999848,
+                "p95": 0.14786443000000418,
+                "p99": 0.1480106620000197,
                 "values": [
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-                    0.14852897700001222,
-                    0.14814413900001,
-                    0.1370806269999889,
-                    0.07997341800000868,
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-                    0.07794846100000541,
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+                    0.14804722000002357,
+                    0.14764101999998047,
+                    0.14535793200002445,
+                    0.11243788500001983,
+                    0.07837340300000051,
+                    0.07847799799998256,
+                    0.07694137499998988,
+                    0.07697377599998845,
+                    0.07728493799999114,
+                    0.07767893499999445
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 19.026175931258603
+                "value": 19.6229550827753
             },
             "energy": null,
             "efficiency": null