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

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark_report.json

@@ -2,7 +2,7 @@
     "overall": {
         "memory": {
             "unit": "MB",
-            "max_ram": 1105.12128,
+            "max_ram": 1104.994304,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 0.8859699058532715,
-            "mean": 0.1771939811706543,
-            "stdev": 0.2559577421387888,
-            "p50": 0.04951347351074219,
-            "p90": 0.43332690887451175,
-            "p95": 0.5612179588317869,
-            "p99": 0.6635307987976073,
+            "total": 0.938614803314209,
+            "mean": 0.1877229606628418,
+            "stdev": 0.2772650747222615,
+            "p50": 0.048998401641845706,
+            "p90": 0.46528062591552743,
+            "p95": 0.6037665946960449,
+            "p99": 0.714555369720459,
             "values": [
-                0.6891090087890624,
-                0.049653759002685545,
-                0.048720863342285155,
-                0.04951347351074219,
-                0.04897280120849609
+                0.7422525634765625,
+                0.04982271957397461,
+                0.048998401641845706,
+                0.0488355827331543,
+                0.04870553588867187
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 56.4353254773878
+            "value": 53.269988736009836
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 1105.12128,
+            "max_ram": 1104.994304,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 0.738762767791748,
-            "mean": 0.369381383895874,
-            "stdev": 0.31972762489318846,
-            "p50": 0.369381383895874,
-            "p90": 0.6251634838104247,
-            "p95": 0.6571362462997435,
-            "p99": 0.6827144562911986,
+            "total": 0.7920752830505372,
+            "mean": 0.3960376415252686,
+            "stdev": 0.346214921951294,
+            "p50": 0.3960376415252686,
+            "p90": 0.6730095790863038,
+            "p95": 0.7076310712814331,
+            "p99": 0.7353282650375367,
             "values": [
-                0.6891090087890624,
-                0.049653759002685545
+                0.7422525634765625,
+                0.04982271957397461
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 10.82891605909293
+            "value": 10.100050047249828
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 1105.12128,
+            "max_ram": 1104.994304,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 0.14720713806152344,
-            "mean": 0.049069046020507816,
-            "stdev": 0.0003306609720592475,
-            "p50": 0.04897280120849609,
-            "p90": 0.04940533905029297,
-            "p95": 0.04945940628051758,
-            "p99": 0.049502660064697265,
+            "total": 0.14653952026367187,
+            "mean": 0.04884650675455729,
+            "stdev": 0.00011981120712250813,
+            "p50": 0.0488355827331543,
+            "p90": 0.04896583786010742,
+            "p95": 0.04898211975097656,
+            "p99": 0.04899514526367188,
             "values": [
-                0.048720863342285155,
-                0.04951347351074219,
-                0.04897280120849609
+                0.048998401641845706,
+                0.0488355827331543,
+                0.04870553588867187
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 122.2766792224241
+            "value": 122.83375820810791
         },
         "energy": null,
         "efficiency": null