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": 2848.096256,
+            "max_ram": 2850.926592,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 3.034167469999943,
-            "mean": 0.6068334939999886,
-            "stdev": 0.051868278032529525,
-            "p50": 0.5835285370000065,
-            "p90": 0.6618884387999856,
-            "p95": 0.6859508893999873,
-            "p99": 0.7052008498799887,
+            "total": 3.22570372499996,
+            "mean": 0.645140744999992,
+            "stdev": 0.05749326766351066,
+            "p50": 0.627064340000004,
+            "p90": 0.706504823399996,
+            "p95": 0.7320982082,
+            "p99": 0.7525729160400033,
             "values": [
-                0.7100133399999891,
-                0.5759917789999918,
-                0.5897010869999804,
-                0.5749327269999753,
-                0.5835285370000065
+                0.7576915930000041,
+                0.627064340000004,
+                0.6148354769999855,
+                0.5963876459999824,
+                0.6297246689999838
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 16.478984925641214
+            "value": 15.500493617094552
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2848.096256,
+            "max_ram": 2850.926592,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.2860051189999808,
-            "mean": 0.6430025594999904,
-            "stdev": 0.06701078049999865,
-            "p50": 0.6430025594999904,
-            "p90": 0.6966111838999893,
-            "p95": 0.7033122619499892,
-            "p99": 0.7086731243899891,
+            "total": 1.384755933000008,
+            "mean": 0.692377966500004,
+            "stdev": 0.06531362650000005,
+            "p50": 0.692377966500004,
+            "p90": 0.7446288677000041,
+            "p95": 0.7511602303500041,
+            "p99": 0.7563853204700041,
             "values": [
-                0.7100133399999891,
-                0.5759917789999918
+                0.7576915930000041,
+                0.627064340000004
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 6.220815051048112
+            "value": 5.777191351452367
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2848.096256,
+            "max_ram": 2850.926592,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 1.7481623509999622,
-            "mean": 0.582720783666654,
-            "stdev": 0.00605615187821957,
-            "p50": 0.5835285370000065,
-            "p90": 0.5884665769999856,
-            "p95": 0.5890838319999829,
-            "p99": 0.5895776359999809,
+            "total": 1.8409477919999517,
+            "mean": 0.6136492639999839,
+            "stdev": 0.013635605391442053,
+            "p50": 0.6148354769999855,
+            "p90": 0.6267468305999842,
+            "p95": 0.628235749799984,
+            "p99": 0.6294268851599838,
             "values": [
-                0.5897010869999804,
-                0.5749327269999753,
-                0.5835285370000065
+                0.6148354769999855,
+                0.5963876459999824,
+                0.6297246689999838
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 10.296526515231188
+            "value": 9.777572225687795
         },
         "energy": null,
         "efficiency": null