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": 2859.401216,
+            "max_ram": 2840.317952,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.087526923999974,
-            "mean": 0.6175053847999947,
-            "stdev": 0.0466831173006549,
-            "p50": 0.5979719800000112,
-            "p90": 0.6661590981999893,
-            "p95": 0.688332391599988,
-            "p99": 0.7060710263199871,
+            "total": 3.0794619369999054,
+            "mean": 0.6158923873999811,
+            "stdev": 0.04849112108641201,
+            "p50": 0.5998866659999749,
+            "p90": 0.6671676351999849,
+            "p95": 0.6894325805999756,
+            "p99": 0.7072445369199681,
             "values": [
-                0.7105056849999869,
-                0.5889849380000101,
-                0.599639217999993,
-                0.5904251029999728,
-                0.5979719800000112
+                0.7116975259999663,
+                0.600372799000013,
+                0.5998866659999749,
+                0.5809838449999916,
+                0.5865211009999598
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 16.19419076521725
+            "value": 16.23660269972726
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2859.401216,
+            "max_ram": 2840.317952,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.299490622999997,
-            "mean": 0.6497453114999985,
-            "stdev": 0.06076037349998842,
-            "p50": 0.6497453114999985,
-            "p90": 0.6983536102999892,
-            "p95": 0.704429647649988,
-            "p99": 0.7092904775299871,
+            "total": 1.3120703249999792,
+            "mean": 0.6560351624999896,
+            "stdev": 0.055662363499976664,
+            "p50": 0.6560351624999896,
+            "p90": 0.700565053299971,
+            "p95": 0.7061312896499686,
+            "p99": 0.7105842787299668,
             "values": [
-                0.7105056849999869,
-                0.5889849380000101
+                0.7116975259999663,
+                0.600372799000013
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 6.156258351084707
+            "value": 6.09723415549401
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2859.401216,
+            "max_ram": 2840.317952,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 1.788036300999977,
-            "mean": 0.5960121003333256,
-            "stdev": 0.004008809053348638,
-            "p50": 0.5979719800000112,
-            "p90": 0.5993057703999967,
-            "p95": 0.5994724941999948,
-            "p99": 0.5996058732399934,
+            "total": 1.7673916119999262,
+            "mean": 0.5891305373333088,
+            "stdev": 0.007934566945658457,
+            "p50": 0.5865211009999598,
+            "p90": 0.5972135529999718,
+            "p95": 0.5985501094999733,
+            "p99": 0.5996193546999745,
             "values": [
-                0.599639217999993,
-                0.5904251029999728,
-                0.5979719800000112
+                0.5998866659999749,
+                0.5809838449999916,
+                0.5865211009999598
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 10.066909709793544
+            "value": 10.184500072189293
         },
         "energy": null,
         "efficiency": null