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": 1286.168576,
+            "max_ram": 1155.506176,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 0.5352038383483886,
-            "mean": 0.10704076766967771,
-            "stdev": 0.11296226408687954,
-            "p50": 0.0505272331237793,
-            "p90": 0.2202968048095703,
-            "p95": 0.276630320739746,
-            "p99": 0.3216971334838867,
+            "total": 0.8873625373840331,
+            "mean": 0.17747250747680662,
+            "stdev": 0.2543180225865066,
+            "p50": 0.05018931198120117,
+            "p90": 0.4325396347045899,
+            "p95": 0.559322093963623,
+            "p99": 0.6607480613708496,
             "values": [
-                0.33296383666992185,
-                0.051296257019042966,
-                0.0505272331237793,
-                0.050078720092773435,
-                0.050337791442871094
+                0.6861045532226563,
+                0.05219225692749024,
+                0.05018931198120117,
+                0.0495022087097168,
+                0.04937420654296875
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 93.4223494254029
+            "value": 56.34675557456059
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 1286.168576,
+            "max_ram": 1155.506176,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 0.3842600936889648,
-            "mean": 0.1921300468444824,
-            "stdev": 0.14083378982543945,
-            "p50": 0.1921300468444824,
-            "p90": 0.30479707870483397,
-            "p95": 0.3188804576873779,
-            "p99": 0.33014716087341306,
+            "total": 0.7382968101501465,
+            "mean": 0.36914840507507324,
+            "stdev": 0.316956148147583,
+            "p50": 0.36914840507507324,
+            "p90": 0.6227133235931397,
+            "p95": 0.6544089384078979,
+            "p99": 0.6797654302597046,
             "values": [
-                0.33296383666992185,
-                0.051296257019042966
+                0.6861045532226563,
+                0.05219225692749024
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 20.819231898890635
+            "value": 10.835750459727775
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 1286.168576,
+            "max_ram": 1155.506176,
             "max_global_vram": 3379.03616,
             "max_process_vram": 0.0,
             "max_reserved": 2730.491904,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 0.15094374465942384,
-            "mean": 0.05031458155314128,
-            "stdev": 0.00018383871369848285,
-            "p50": 0.050337791442871094,
-            "p90": 0.05048934478759766,
-            "p95": 0.05050828895568848,
-            "p99": 0.05052344429016113,
+            "total": 0.14906572723388672,
+            "mean": 0.049688575744628906,
+            "stdev": 0.00035790941371196524,
+            "p50": 0.0495022087097168,
+            "p90": 0.050051891326904296,
+            "p95": 0.05012060165405273,
+            "p99": 0.05017556991577148,
             "values": [
-                0.0505272331237793,
-                0.050078720092773435,
-                0.050337791442871094
+                0.05018931198120117,
+                0.0495022087097168,
+                0.04937420654296875
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 119.24972472766999
+            "value": 120.75210267318984
         },
         "energy": null,
         "efficiency": null