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": 16757.346304,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "0994de67c8ae64954d51b8fdb251c26ff95c5907",
+            "optimum_benchmark_commit": "217063f5c507ed7cc255df7e1f64c4333a0b4dfe",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -94,7 +94,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 897.482752,
+                "max_ram": 896.647168,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -102,31 +102,32 @@
             },
             "latency": {
                 "unit": "s",
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-                "total": 1.0638359479998485,
-                "mean": 0.09671235890907713,
-                "stdev": 0.01767675296781444,
-                "p50": 0.09142851399997198,
-                "p90": 0.10941137899999376,
-                "p95": 0.12831559049999441,
-                "p99": 0.14343895969999496,
+                "count": 12,
+                "total": 1.06996675500001,
+                "mean": 0.08916389625000083,
+                "stdev": 0.0009296814351185687,
+                "p50": 0.08916533650000247,
+                "p90": 0.09026509200000703,
+                "p95": 0.09030971245000359,
+                "p99": 0.09034500968999935,
                 "values": [
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-                    0.08808485999998084,
-                    0.08817295500000455,
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+                    0.08765780900000664,
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+                    0.0903538339999983,
+                    0.08797528499999885,
+                    0.09013718699999629,
+                    0.08839736800000253
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 20.67988024033489
+                "value": 22.43060346300178
             },
             "energy": null,
             "efficiency": null