Upload cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -88,7 +88,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "079be6729111d58c45eb7f4a60e984bbf86c5a81",
+            "optimum_benchmark_commit": "d8da484bc148044dec1ba23c2d50d43cabd271ad",
             "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -107,33 +107,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.394112,
-                "max_global_vram": 4796.29312,
-                "max_process_vram": 284693.01248,
+                "max_ram": 1122.557952,
+                "max_global_vram": 4880.1792,
+                "max_process_vram": 277514.100736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7680610656738281,
-                "mean": 0.15361221313476564,
-                "stdev": 0.21012209072866944,
-                "p50": 0.04843983840942383,
-                "p90": 0.36406803283691413,
-                "p95": 0.468961750793457,
-                "p99": 0.5528767251586915,
+                "total": 0.7491788978576661,
+                "mean": 0.1498357795715332,
+                "stdev": 0.2035976495775015,
+                "p50": 0.048033493041992184,
+                "p90": 0.35352256011962896,
+                "p95": 0.4552767829895019,
+                "p99": 0.5366801612854004,
                 "values": [
-                    0.57385546875,
-                    0.04938687896728516,
-                    0.04817951965332031,
-                    0.04843983840942383,
-                    0.04819935989379883
+                    0.557031005859375,
+                    0.04825989151000976,
+                    0.04791317367553711,
+                    0.048033493041992184,
+                    0.04794133377075195
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 65.09899047692838
+                "value": 66.73973351756008
             },
             "energy": null,
             "efficiency": null
@@ -141,30 +141,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.394112,
-                "max_global_vram": 4796.29312,
-                "max_process_vram": 284693.01248,
+                "max_ram": 1122.557952,
+                "max_global_vram": 4880.1792,
+                "max_process_vram": 277514.100736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6232423477172852,
-                "mean": 0.3116211738586426,
-                "stdev": 0.26223429489135747,
-                "p50": 0.3116211738586426,
-                "p90": 0.5214086097717285,
-                "p95": 0.5476320392608642,
-                "p99": 0.5686107828521729,
+                "total": 0.6052908973693848,
+                "mean": 0.3026454486846924,
+                "stdev": 0.25438555717468264,
+                "p50": 0.3026454486846924,
+                "p90": 0.5061538944244385,
+                "p95": 0.5315924501419067,
+                "p99": 0.5519432947158813,
                 "values": [
-                    0.57385546875,
-                    0.04938687896728516
+                    0.557031005859375,
+                    0.04825989151000976
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.836098235784446
+                "value": 13.216785573297528
             },
             "energy": null,
             "efficiency": null
@@ -172,31 +172,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.394112,
-                "max_global_vram": 4796.29312,
-                "max_process_vram": 284693.01248,
+                "max_ram": 1122.557952,
+                "max_global_vram": 4880.1792,
+                "max_process_vram": 277514.100736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.14481871795654297,
-                "mean": 0.04827290598551432,
-                "stdev": 0.0001183166215423348,
-                "p50": 0.04819935989379883,
-                "p90": 0.048391742706298826,
-                "p95": 0.04841579055786133,
-                "p99": 0.04843502883911133,
+                "total": 0.14388800048828126,
+                "mean": 0.04796266682942709,
+                "stdev": 5.1384251999778346e-05,
+                "p50": 0.04794133377075195,
+                "p90": 0.04801506118774414,
+                "p95": 0.04802427711486816,
+                "p99": 0.04803164985656738,
                 "values": [
-                    0.04817951965332031,
-                    0.04843983840942383,
-                    0.04819935989379883
+                    0.04791317367553711,
+                    0.048033493041992184,
+                    0.04794133377075195
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 124.29332515843303
+                "value": 125.09729747385002
             },
             "energy": null,
             "efficiency": null