Upload test_api_push_to_hub_mixin/benchmark.json with huggingface_hub

test_api_push_to_hub_mixin/benchmark.json

@@ -6,19 +6,17 @@
             "version": "2.3.0+cpu",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "fill-mask",
-            "model": "google-bert/bert-base-uncased",
             "library": "transformers",
+            "model": "google-bert/bert-base-uncased",
+            "processor": "google-bert/bert-base-uncased",
             "device": "cpu",
             "device_ids": null,
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "hub_kwargs": {
-                "revision": "main",
-                "force_download": false,
-                "local_files_only": false,
-                "trust_remote_code": false
-            },
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
             "no_weights": false,
             "device_map": null,
             "torch_dtype": null,
@@ -75,7 +73,7 @@
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "d35829e539df8480b726c647eeabf91e41eae047",
+            "optimum_benchmark_commit": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.0",
@@ -94,7 +92,7 @@
         "forward": {
             "memory": {
                 "unit": "MB",
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+                "max_ram": 897.122304,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -103,31 +101,31 @@
             "latency": {
                 "unit": "s",
                 "count": 12,
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-                "p90": 0.09100829570000428,
-                "p95": 0.09166590930000496,
-                "p99": 0.09226576746000603,
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+                "p90": 0.09120770909996737,
+                "p95": 0.09193051570001672,
+                "p99": 0.09262576234006929,
                 "values": [
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+                    0.0894954240000061,
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             "throughput": {
                 "unit": "samples/s",
-                "value": 22.43144590527299
+                "value": 22.327521480421087
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             "energy": null,
             "efficiency": null