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": 2850.086912,
+            "max_ram": 2815.717376,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.807398879999937,
-            "mean": 0.7614797759999874,
-            "stdev": 0.049763735657755034,
-            "p50": 0.7352421379999896,
-            "p90": 0.8138726673999827,
-            "p95": 0.8373047421999785,
-            "p99": 0.8560504020399753,
+            "total": 3.795879067000044,
+            "mean": 0.7591758134000088,
+            "stdev": 0.05123327148458456,
+            "p50": 0.7359142500000075,
+            "p90": 0.8131853466000166,
+            "p95": 0.8371619038000062,
+            "p99": 0.856343149559998,
             "values": [
-                0.8607368169999745,
-                0.7352421379999896,
-                0.7435764429999949,
-                0.7328370339999992,
-                0.7350064479999787
+                0.8611384609999959,
+                0.7257467839999663,
+                0.7359142500000075,
+                0.7412556750000476,
+                0.7318238970000266
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 13.132325132164988
+            "value": 13.172179386503995
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2850.086912,
+            "max_ram": 2815.717376,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.5959789549999641,
-            "mean": 0.7979894774999821,
-            "stdev": 0.06274733949999245,
-            "p50": 0.7979894774999821,
-            "p90": 0.8481873490999761,
-            "p95": 0.8544620830499753,
-            "p99": 0.8594818702099747,
+            "total": 1.5868852449999622,
+            "mean": 0.7934426224999811,
+            "stdev": 0.06769583850001482,
+            "p50": 0.7934426224999811,
+            "p90": 0.847599293299993,
+            "p95": 0.8543688771499944,
+            "p99": 0.8597845442299956,
             "values": [
-                0.8607368169999745,
-                0.7352421379999896
+                0.8611384609999959,
+                0.7257467839999663
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 5.012597424882824
+            "value": 5.041322316914094
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2850.086912,
+            "max_ram": 2815.717376,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 2.211419924999973,
-            "mean": 0.737139974999991,
-            "stdev": 0.0046366424283190875,
-            "p50": 0.7350064479999787,
-            "p90": 0.7418624439999917,
-            "p95": 0.7427194434999933,
-            "p99": 0.7434050430999946,
+            "total": 2.2089938220000818,
+            "mean": 0.7363312740000273,
+            "stdev": 0.003861782043121591,
+            "p50": 0.7359142500000075,
+            "p90": 0.7401873900000396,
+            "p95": 0.7407215325000436,
+            "p99": 0.7411488465000469,
             "values": [
-                0.7435764429999949,
-                0.7328370339999992,
-                0.7350064479999787
+                0.7359142500000075,
+                0.7412556750000476,
+                0.7318238970000266
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 8.139566708480398
+            "value": 8.148506265944338
         },
         "energy": null,
         "efficiency": null