Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "f6013cec1a849341c31271831560b1681406c092",
+            "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.906112,
-                "max_global_vram": 68379.066368,
-                "max_process_vram": 291557.04832,
+                "max_ram": 1123.057664,
+                "max_global_vram": 67681.325056,
+                "max_process_vram": 302945.959936,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7629578704833984,
-                "mean": 0.15259157409667967,
-                "stdev": 0.21573203478587713,
-                "p50": 0.0451723518371582,
-                "p90": 0.3688957061767578,
-                "p95": 0.47647287750244127,
-                "p99": 0.5625346145629883,
+                "total": 0.7806842079162598,
+                "mean": 0.15613684158325197,
+                "stdev": 0.2217467620018978,
+                "p50": 0.04510548782348633,
+                "p90": 0.37821858825683596,
+                "p95": 0.488924021911621,
+                "p99": 0.5774883688354492,
                 "values": [
-                    0.584050048828125,
-                    0.04616419219970703,
-                    0.0451723518371582,
-                    0.044785316467285154,
-                    0.04278596115112305
+                    0.5996294555664062,
+                    0.04610228729248047,
+                    0.04510548782348633,
+                    0.04508036804199219,
+                    0.044766609191894534
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 65.53441799914951
+                "value": 64.0463832789138
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.906112,
-                "max_global_vram": 68379.066368,
-                "max_process_vram": 291557.04832,
+                "max_ram": 1123.057664,
+                "max_global_vram": 67681.325056,
+                "max_process_vram": 302945.959936,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.630214241027832,
-                "mean": 0.315107120513916,
-                "stdev": 0.26894292831420896,
-                "p50": 0.315107120513916,
-                "p90": 0.5302614631652831,
-                "p95": 0.557155755996704,
-                "p99": 0.5786711902618408,
+                "total": 0.6457317428588867,
+                "mean": 0.32286587142944334,
+                "stdev": 0.2767635841369629,
+                "p50": 0.32286587142944334,
+                "p90": 0.5442767387390137,
+                "p95": 0.5719530971527099,
+                "p99": 0.594094183883667,
                 "values": [
-                    0.584050048828125,
-                    0.04616419219970703
+                    0.5996294555664062,
+                    0.04610228729248047
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.694095879129298
+                "value": 12.389045588158826
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.906112,
-                "max_global_vram": 68379.066368,
-                "max_process_vram": 291557.04832,
+                "max_ram": 1123.057664,
+                "max_global_vram": 67681.325056,
+                "max_process_vram": 302945.959936,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.1327436294555664,
-                "mean": 0.0442478764851888,
-                "stdev": 0.0010457362406029636,
-                "p50": 0.044785316467285154,
-                "p90": 0.04509494476318359,
-                "p95": 0.0451336483001709,
-                "p99": 0.045164611129760744,
+                "total": 0.13495246505737304,
+                "mean": 0.044984155019124346,
+                "stdev": 0.00015416958425579544,
+                "p50": 0.04508036804199219,
+                "p90": 0.0451004638671875,
+                "p95": 0.045102975845336915,
+                "p99": 0.045104985427856445,
                 "values": [
-                    0.0451723518371582,
-                    0.044785316467285154,
-                    0.04278596115112305
+                    0.04510548782348633,
+                    0.04508036804199219,
+                    0.044766609191894534
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 135.59972763909687
+                "value": 133.38029796156422
             },
             "energy": null,
             "efficiency": null