Upload cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json with huggingface_hub

cpu_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json

@@ -2,7 +2,7 @@
     "overall": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2880.299008,
+            "max_ram": 2865.389568,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 2.990150104999998,
-            "mean": 0.5980300209999996,
-            "stdev": 0.04906595396342328,
-            "p50": 0.5737669479999568,
-            "p90": 0.6490010692000396,
-            "p95": 0.6724829846000375,
-            "p99": 0.6912685169200359,
+            "total": 3.135132879999958,
+            "mean": 0.6270265759999916,
+            "stdev": 0.04965271156487715,
+            "p50": 0.6022427589999779,
+            "p90": 0.6794898089999947,
+            "p95": 0.7027182419999917,
+            "p99": 0.7213009883999894,
             "values": [
-                0.6959649000000354,
-                0.568754905999981,
-                0.5737669479999568,
-                0.5731080279999787,
-                0.578555323000046
+                0.7259466749999888,
+                0.6022427589999779,
+                0.5961902129999999,
+                0.6098045100000036,
+                0.6009487229999877
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 16.721568564866423
+            "value": 15.948287333837241
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2880.299008,
+            "max_ram": 2865.389568,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.2647198060000164,
-            "mean": 0.6323599030000082,
-            "stdev": 0.0636049970000272,
-            "p50": 0.6323599030000082,
-            "p90": 0.6832439006000299,
-            "p95": 0.6896044003000327,
-            "p99": 0.6946928000600349,
+            "total": 1.3281894339999667,
+            "mean": 0.6640947169999833,
+            "stdev": 0.061851958000005425,
+            "p50": 0.6640947169999833,
+            "p90": 0.7135762833999877,
+            "p95": 0.7197614791999882,
+            "p99": 0.7247096358399887,
             "values": [
-                0.6959649000000354,
-                0.568754905999981
+                0.7259466749999888,
+                0.6022427589999779
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 6.325511755289058
+            "value": 6.023237194341512
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2880.299008,
+            "max_ram": 2865.389568,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 1.7254302989999815,
-            "mean": 0.5751434329999938,
-            "stdev": 0.0024275212214568006,
-            "p50": 0.5737669479999568,
-            "p90": 0.5775976480000281,
-            "p95": 0.5780764855000371,
-            "p99": 0.5784595555000442,
+            "total": 1.8069434459999911,
+            "mean": 0.602314481999997,
+            "stdev": 0.0056412908650212,
+            "p50": 0.6009487229999877,
+            "p90": 0.6080333526000004,
+            "p95": 0.608918931300002,
+            "p99": 0.6096273942600032,
             "values": [
-                0.5737669479999568,
-                0.5731080279999787,
-                0.578555323000046
+                0.5961902129999999,
+                0.6098045100000036,
+                0.6009487229999877
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 10.432180314923398
+            "value": 9.961573528959294
         },
         "energy": null,
         "efficiency": null