Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json with huggingface_hub

cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark_report.json

@@ -2,7 +2,7 @@
     "overall": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2488.365056,
+            "max_ram": 2472.40704,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -11,24 +11,24 @@
         "latency": {
             "unit": "s",
             "count": 5,
-            "total": 2.949876449000044,
-            "mean": 0.5899752898000088,
-            "stdev": 0.056200859120508574,
-            "p50": 0.5574743660000081,
-            "p90": 0.655720254400012,
-            "p95": 0.6769498162000162,
-            "p99": 0.6939334656400195,
+            "total": 2.7986105709999833,
+            "mean": 0.5597221141999966,
+            "stdev": 0.0427802185513315,
+            "p50": 0.543106784999992,
+            "p90": 0.6047571849999883,
+            "p95": 0.6247147969999843,
+            "p99": 0.6406808865999812,
             "values": [
-                0.6981793780000203,
-                0.5920315689999995,
-                0.5504814590000251,
-                0.551709676999991,
-                0.5574743660000081
+                0.6446724089999805,
+                0.543106784999992,
+                0.5348415670000009,
+                0.5448843490000002,
+                0.5311054610000099
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 16.949862431339835
+            "value": 17.86600841078589
         },
         "energy": null,
         "efficiency": null
@@ -36,7 +36,7 @@
     "warmup": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2488.365056,
+            "max_ram": 2472.40704,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -45,21 +45,21 @@
         "latency": {
             "unit": "s",
             "count": 2,
-            "total": 1.2902109470000198,
-            "mean": 0.6451054735000099,
-            "stdev": 0.05307390450001037,
-            "p50": 0.6451054735000099,
-            "p90": 0.6875645971000182,
-            "p95": 0.6928719875500192,
-            "p99": 0.69711789991002,
+            "total": 1.1877791939999724,
+            "mean": 0.5938895969999862,
+            "stdev": 0.05078281199999424,
+            "p50": 0.5938895969999862,
+            "p90": 0.6345158465999816,
+            "p95": 0.639594127799981,
+            "p99": 0.6436567527599806,
             "values": [
-                0.6981793780000203,
-                0.5920315689999995
+                0.6446724089999805,
+                0.543106784999992
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 6.200536446076113
+            "value": 6.73525857365724
         },
         "energy": null,
         "efficiency": null
@@ -67,7 +67,7 @@
     "train": {
         "memory": {
             "unit": "MB",
-            "max_ram": 2488.365056,
+            "max_ram": 2472.40704,
             "max_global_vram": null,
             "max_process_vram": null,
             "max_reserved": null,
@@ -76,22 +76,22 @@
         "latency": {
             "unit": "s",
             "count": 3,
-            "total": 1.6596655020000242,
-            "mean": 0.553221834000008,
-            "stdev": 0.003048513427025086,
-            "p50": 0.551709676999991,
-            "p90": 0.5563214282000046,
-            "p95": 0.5568978971000064,
-            "p99": 0.5573590722200078,
+            "total": 1.6108313770000109,
+            "mean": 0.536943792333337,
+            "stdev": 0.005818301707724176,
+            "p50": 0.5348415670000009,
+            "p90": 0.5428757926000003,
+            "p95": 0.5438800708000002,
+            "p99": 0.5446834933600002,
             "values": [
-                0.5504814590000251,
-                0.551709676999991,
-                0.5574743660000081
+                0.5348415670000009,
+                0.5448843490000002,
+                0.5311054610000099
             ]
         },
         "throughput": {
             "unit": "samples/s",
-            "value": 10.845558926367163
+            "value": 11.17435397460592
         },
         "energy": null,
         "efficiency": null