Upload cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark_report.json

@@ -2,7 +2,7 @@
     "overall": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2829.959168,
+            "max_ram": 2844.475392,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.726759168000001,
-            "mean": 0.7453518336000002,
-            "stdev": 0.04752344131846556,
-            "p50": 0.7150119780000068,
-            "p90": 0.8032997773999909,
-            "p95": 0.8182023401999913,
-            "p99": 0.8301243904399916,
+            "total": 3.767362111000068,
+            "mean": 0.7534724222000136,
+            "stdev": 0.05310134886913619,
+            "p50": 0.7252506040000526,
+            "p90": 0.8143507662000047,
+            "p95": 0.8355539115999931,
+            "p99": 0.8525164279199839,
             "values": [
-                0.8331049029999917,
-                0.7101216100000443,
-                0.7585920889999898,
-                0.7099285879999684,
-                0.7150119780000068
+                0.8567570569999816,
+                0.7507413300000394,
+                0.719671027000004,
+                0.7149420929999906,
+                0.7252506040000526
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 13.416482725615175
+            "value": 13.271885878452817
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2829.959168,
+            "max_ram": 2844.475392,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.543226513000036,
-            "mean": 0.771613256500018,
-            "stdev": 0.06149164649997374,
-            "p50": 0.771613256500018,
-            "p90": 0.820806573699997,
-            "p95": 0.8269557383499944,
-            "p99": 0.8318750700699923,
+            "total": 1.607498387000021,
+            "mean": 0.8037491935000105,
+            "stdev": 0.05300786349997111,
+            "p50": 0.8037491935000105,
+            "p90": 0.8461554842999874,
+            "p95": 0.8514562706499845,
+            "p99": 0.8556968997299822,
             "values": [
-                0.8331049029999917,
-                0.7101216100000443
+                0.8567570569999816,
+                0.7507413300000394
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 5.183944114884328
+            "value": 4.976676844404134
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2829.959168,
+            "max_ram": 2844.475392,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 2.183532654999965,
-            "mean": 0.7278442183333217,
-            "stdev": 0.02184084669258855,
-            "p50": 0.7150119780000068,
-            "p90": 0.7498760667999932,
-            "p95": 0.7542340778999914,
-            "p99": 0.75772048677999,
+            "total": 2.159863724000047,
+            "mean": 0.7199545746666823,
+            "stdev": 0.004213205368762919,
+            "p50": 0.719671027000004,
+            "p90": 0.7241346886000428,
+            "p95": 0.7246926463000477,
+            "p99": 0.7251390124600516,
             "values": [
-                0.7585920889999898,
-                0.7099285879999684,
-                0.7150119780000068
+                0.719671027000004,
+                0.7149420929999906,
+                0.7252506040000526
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 8.243522238507712
+            "value": 8.333859122678431
         },
         "energy": null,
         "efficiency": null