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": 2836.856832,
+            "max_ram": 2832.50688,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.134365613,
-            "mean": 0.6268731225999999,
-            "stdev": 0.05109366748079849,
-            "p50": 0.601566245000015,
-            "p90": 0.6798091692000015,
-            "p95": 0.7043426806000014,
-            "p99": 0.7239694897200013,
+            "total": 3.11779525299994,
+            "mean": 0.6235590505999881,
+            "stdev": 0.049603432971682564,
+            "p50": 0.5995712669999875,
+            "p90": 0.6744295051999984,
+            "p95": 0.698530285600009,
+            "p99": 0.7178109099200174,
             "values": [
-                0.7288761920000013,
-                0.601566245000015,
-                0.6062086350000015,
-                0.6011974709999777,
-                0.5965170700000044
+                0.7226310660000195,
+                0.5995712669999875,
+                0.5993030899999781,
+                0.5941626659999883,
+                0.6021271639999668
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 15.95219134379905
+            "value": 16.03697354785887
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2836.856832,
+            "max_ram": 2832.50688,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.3304424370000163,
-            "mean": 0.6652212185000081,
-            "stdev": 0.06365497349999316,
-            "p50": 0.6652212185000081,
-            "p90": 0.7161451973000027,
-            "p95": 0.722510694650002,
-            "p99": 0.7276030925300014,
+            "total": 1.322202333000007,
+            "mean": 0.6611011665000035,
+            "stdev": 0.06152989950001597,
+            "p50": 0.6611011665000035,
+            "p90": 0.7103250861000163,
+            "p95": 0.7164780760500179,
+            "p99": 0.7214004680100191,
             "values": [
-                0.7288761920000013,
-                0.601566245000015
+                0.7226310660000195,
+                0.5995712669999875
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 6.013037300613331
+            "value": 6.050511181483415
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2836.856832,
+            "max_ram": 2832.50688,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 1.8039231759999836,
-            "mean": 0.6013077253333279,
-            "stdev": 0.003957332860299489,
-            "p50": 0.6011974709999777,
-            "p90": 0.6052064021999968,
-            "p95": 0.6057075185999992,
-            "p99": 0.6061084117200011,
+            "total": 1.7955929199999332,
+            "mean": 0.5985309733333111,
+            "stdev": 0.0032970117994050186,
+            "p50": 0.5993030899999781,
+            "p90": 0.6015623491999691,
+            "p95": 0.601844756599968,
+            "p99": 0.602070682519967,
             "values": [
-                0.6062086350000015,
-                0.6011974709999777,
-                0.5965170700000044
+                0.5993030899999781,
+                0.5941626659999883,
+                0.6021271639999668
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 9.978251978508958
+            "value": 10.024543870445129
         },
         "energy": null,
         "efficiency": null