Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

@@ -79,14 +79,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.338112,
+            "cpu_ram_mb": 16757.342208,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1024-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "d662120356cf9cce87fb802aea1c49ce74710c29",
+            "optimum_benchmark_commit": "06a9a039703e5370285ca115f872784a3a49a62c",
             "transformers_version": "4.43.3",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2491.666432,
+                "max_ram": 2501.013504,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.8350001509999743,
-                "mean": 0.5670000301999949,
-                "stdev": 0.04544472989918028,
-                "p50": 0.5464373639999849,
-                "p90": 0.6153470095999921,
-                "p95": 0.6363364887999864,
-                "p99": 0.6531280721599819,
+                "total": 2.8269277119999856,
+                "mean": 0.5653855423999972,
+                "stdev": 0.045905959917899364,
+                "p50": 0.5440210129999912,
+                "p90": 0.6137113887999874,
+                "p95": 0.6352315823999902,
+                "p99": 0.6524477372799925,
                 "values": [
-                    0.6573259679999808,
-                    0.5371463330000097,
-                    0.5523785720000092,
-                    0.5464373639999849,
-                    0.5417119139999897
+                    0.656751775999993,
+                    0.5350710300000117,
+                    0.549150807999979,
+                    0.5440210129999912,
+                    0.5419330850000108
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 17.636683363972228
+                "value": 17.687045829914823
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2491.666432,
+                "max_ram": 2501.013504,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.1944723009999905,
-                "mean": 0.5972361504999952,
-                "stdev": 0.06008981749998554,
-                "p50": 0.5972361504999952,
-                "p90": 0.6453080044999837,
-                "p95": 0.6513169862499822,
-                "p99": 0.656124171649981,
+                "total": 1.1918228060000047,
+                "mean": 0.5959114030000023,
+                "stdev": 0.06084037299999068,
+                "p50": 0.5959114030000023,
+                "p90": 0.6445837013999949,
+                "p95": 0.650667738699994,
+                "p99": 0.6555349685399932,
                 "values": [
-                    0.6573259679999808,
-                    0.5371463330000097
+                    0.656751775999993,
+                    0.5350710300000117
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.697518220642325
+                "value": 6.712407213325274
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2491.666432,
+                "max_ram": 2501.013504,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.6405278499999838,
-                "mean": 0.5468426166666612,
-                "stdev": 0.004364063130862556,
-                "p50": 0.5464373639999849,
-                "p90": 0.5511903304000043,
-                "p95": 0.5517844512000067,
-                "p99": 0.5522597478400086,
+                "total": 1.635104905999981,
+                "mean": 0.5450349686666603,
+                "stdev": 0.003032596345987503,
+                "p50": 0.5440210129999912,
+                "p90": 0.5481248489999814,
+                "p95": 0.5486378284999802,
+                "p99": 0.5490482120999792,
                 "values": [
-                    0.5523785720000092,
-                    0.5464373639999849,
-                    0.5417119139999897
+                    0.549150807999979,
+                    0.5440210129999912,
+                    0.5419330850000108
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.972078285656766
+                "value": 11.008467978995967
             },
             "energy": null,
             "efficiency": null