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": 2838.470656,
+            "max_ram": 2854.780928,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.75863329500001,
-            "mean": 0.751726659000002,
-            "stdev": 0.045778260458319495,
-            "p50": 0.7292233160000023,
-            "p90": 0.8062228522000112,
-            "p95": 0.8219880696000189,
-            "p99": 0.834600243520025,
+            "total": 3.727575158000093,
+            "mean": 0.7455150316000185,
+            "stdev": 0.047591335670242846,
+            "p50": 0.7270421549999924,
+            "p90": 0.795199366400027,
+            "p95": 0.8176562482000236,
+            "p99": 0.8356217536400209,
             "values": [
-                0.8377532870000266,
-                0.7133244409999975,
-                0.7292233160000023,
-                0.7194050509999954,
-                0.758927199999988
+                0.8401131300000202,
+                0.7278287210000371,
+                0.7189667190000364,
+                0.7136244330000068,
+                0.7270421549999924
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 13.302707680079726
+            "value": 13.413545771891519
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2838.470656,
+            "max_ram": 2854.780928,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.551077728000024,
-            "mean": 0.775538864000012,
-            "stdev": 0.06221442300001456,
-            "p50": 0.775538864000012,
-            "p90": 0.8253104024000237,
-            "p95": 0.8315318447000252,
-            "p99": 0.8365089985400264,
+            "total": 1.5679418510000573,
+            "mean": 0.7839709255000287,
+            "stdev": 0.05614220449999152,
+            "p50": 0.7839709255000287,
+            "p90": 0.8288846891000219,
+            "p95": 0.834498909550021,
+            "p99": 0.8389902859100203,
             "values": [
-                0.8377532870000266,
-                0.7133244409999975
+                0.8401131300000202,
+                0.7278287210000371
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 5.157704127642452
+            "value": 5.102230031615954
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2838.470656,
+            "max_ram": 2854.780928,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 2.207555566999986,
-            "mean": 0.7358518556666619,
-            "stdev": 0.016801849481109,
-            "p50": 0.7292233160000023,
-            "p90": 0.7529864231999909,
-            "p95": 0.7559568115999895,
-            "p99": 0.7583331223199883,
+            "total": 2.1596333070000355,
+            "mean": 0.7198777690000119,
+            "stdev": 0.0055155129706471705,
+            "p50": 0.7189667190000364,
+            "p90": 0.7254270678000012,
+            "p95": 0.7262346113999968,
+            "p99": 0.7268806462799933,
             "values": [
-                0.7292233160000023,
-                0.7194050509999954,
-                0.758927199999988
+                0.7189667190000364,
+                0.7136244330000068,
+                0.7270421549999924
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 8.153815137918164
+            "value": 8.33474828419087
         },
         "energy": null,
         "efficiency": null