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": 2831.62624,
+            "max_ram": 2829.959168,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.77850484399994,
-            "mean": 0.755700968799988,
-            "stdev": 0.04503625169636377,
-            "p50": 0.7342879949999883,
-            "p90": 0.8025032919999603,
-            "p95": 0.8240500559999645,
-            "p99": 0.8412874671999679,
+            "total": 3.726759168000001,
+            "mean": 0.7453518336000002,
+            "stdev": 0.04752344131846556,
+            "p50": 0.7150119780000068,
+            "p90": 0.8032997773999909,
+            "p95": 0.8182023401999913,
+            "p99": 0.8301243904399916,
             "values": [
-                0.8455968199999688,
-                0.73104702400002,
-                0.7378629999999475,
-                0.7297100050000154,
-                0.7342879949999883
+                0.8331049029999917,
+                0.7101216100000443,
+                0.7585920889999898,
+                0.7099285879999684,
+                0.7150119780000068
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 13.232747360215052
+            "value": 13.416482725615175
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2831.62624,
+            "max_ram": 2829.959168,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.5766438439999888,
-            "mean": 0.7883219219999944,
-            "stdev": 0.05727489799997443,
-            "p50": 0.7883219219999944,
-            "p90": 0.834141840399974,
-            "p95": 0.8398693301999713,
-            "p99": 0.8444513220399693,
+            "total": 1.543226513000036,
+            "mean": 0.771613256500018,
+            "stdev": 0.06149164649997374,
+            "p50": 0.771613256500018,
+            "p90": 0.820806573699997,
+            "p95": 0.8269557383499944,
+            "p99": 0.8318750700699923,
             "values": [
-                0.8455968199999688,
-                0.73104702400002
+                0.8331049029999917,
+                0.7101216100000443
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 5.074069220163116
+            "value": 5.183944114884328
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2831.62624,
+            "max_ram": 2829.959168,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 2.201860999999951,
-            "mean": 0.7339536666666504,
-            "stdev": 0.0033368311757398504,
-            "p50": 0.7342879949999883,
-            "p90": 0.7371479989999556,
-            "p95": 0.7375054994999516,
-            "p99": 0.7377914998999483,
+            "total": 2.183532654999965,
+            "mean": 0.7278442183333217,
+            "stdev": 0.02184084669258855,
+            "p50": 0.7150119780000068,
+            "p90": 0.7498760667999932,
+            "p95": 0.7542340778999914,
+            "p99": 0.75772048677999,
             "values": [
-                0.7378629999999475,
-                0.7297100050000154,
-                0.7342879949999883
+                0.7585920889999898,
+                0.7099285879999684,
+                0.7150119780000068
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 8.174902957089662
+            "value": 8.243522238507712
         },
         "energy": null,
         "efficiency": null