Upload test_api_push_to_hub_mixin/benchmark.json with huggingface_hub

test_api_push_to_hub_mixin/benchmark.json

@@ -7,6 +7,7 @@
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "fill-mask",
             "library": "transformers",
+            "model_type": "bert",
             "model": "google-bert/bert-base-uncased",
             "processor": "google-bert/bert-base-uncased",
             "device": "cpu",
@@ -68,14 +69,14 @@
         "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": "c31e63ddb94c29460ba90ff599147e94ff80543a",
+            "optimum_benchmark_commit": "402644384abc46743e46dac65be6512bc68c9d92",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -94,7 +95,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 899.633152,
+                "max_ram": 892.305408,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -103,31 +104,31 @@
             "latency": {
                 "unit": "s",
                 "count": 12,
-                "total": 1.012824099999989,
-                "mean": 0.0844020083333324,
-                "stdev": 0.0049134515190961065,
-                "p50": 0.08729383699999005,
-                "p90": 0.08872354569998323,
-                "p95": 0.08879227009998232,
-                "p99": 0.08884829881998173,
+                "total": 1.0406135840000275,
+                "mean": 0.08671779866666895,
+                "stdev": 0.0036712577021893017,
+                "p50": 0.08819869200000596,
+                "p90": 0.08971746130000043,
+                "p95": 0.09001291165000538,
+                "p99": 0.09020769833001026,
                 "values": [
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-                    0.08862074499998585,
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+                    0.07851614500000892,
+                    0.08308473899998603,
+                    0.08883160300001691
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 23.696118605392847
+                "value": 23.063316075258314
             },
             "energy": null,
             "efficiency": null