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

cuda_training_transformers_text-classification_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": "dc29eecfd7850e87154a5a92442eb64d237d0070",
+            "optimum_benchmark_commit": "1981150adc21fc49153cb832dbc6f0ecca02bc2a",
             "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -107,33 +107,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1119.88736,
-                "max_global_vram": 4741.881856,
-                "max_process_vram": 281722.380288,
+                "max_ram": 1120.120832,
+                "max_global_vram": 4846.759936,
+                "max_process_vram": 285050.494976,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7540511856079101,
-                "mean": 0.150810237121582,
-                "stdev": 0.20586159220214492,
-                "p50": 0.04784244155883789,
-                "p90": 0.35680733489990235,
-                "p95": 0.4596702995300292,
-                "p99": 0.5419606712341308,
+                "total": 0.7715228195190431,
+                "mean": 0.15430456390380862,
+                "stdev": 0.21241229728790417,
+                "p50": 0.04810816955566406,
+                "p90": 0.3668339645385743,
+                "p95": 0.4729814964294433,
+                "p99": 0.5578995219421387,
                 "values": [
-                    0.5625332641601563,
-                    0.04821844100952148,
-                    0.04772035980224609,
-                    0.04773667907714844,
-                    0.04784244155883789
+                    0.5791290283203125,
+                    0.048391368865966795,
+                    0.04788992691040039,
+                    0.04810816955566406,
+                    0.04800432586669922
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 66.30849596727363
+                "value": 64.80689713256871
             },
             "energy": null,
             "efficiency": null
@@ -141,30 +141,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1119.88736,
-                "max_global_vram": 4741.881856,
-                "max_process_vram": 281722.380288,
+                "max_ram": 1120.120832,
+                "max_global_vram": 4846.759936,
+                "max_process_vram": 285050.494976,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6107517051696777,
-                "mean": 0.30537585258483885,
-                "stdev": 0.25715741157531735,
-                "p50": 0.30537585258483885,
-                "p90": 0.5111017818450928,
-                "p95": 0.5368175230026245,
-                "p99": 0.55739011592865,
+                "total": 0.6275203971862794,
+                "mean": 0.3137601985931397,
+                "stdev": 0.2653688297271729,
+                "p50": 0.3137601985931397,
+                "p90": 0.526055262374878,
+                "p95": 0.5525921453475953,
+                "p99": 0.573821651725769,
                 "values": [
-                    0.5625332641601563,
-                    0.04821844100952148
+                    0.5791290283203125,
+                    0.048391368865966795
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.098612631425167
+                "value": 12.748589585089137
             },
             "energy": null,
             "efficiency": null
@@ -172,31 +172,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1119.88736,
-                "max_global_vram": 4741.881856,
-                "max_process_vram": 281722.380288,
+                "max_ram": 1120.120832,
+                "max_global_vram": 4846.759936,
+                "max_process_vram": 285050.494976,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.14329948043823243,
-                "mean": 0.04776649347941081,
-                "stdev": 5.41150795979065e-05,
-                "p50": 0.04773667907714844,
-                "p90": 0.0478212890625,
-                "p95": 0.04783186531066894,
-                "p99": 0.0478403263092041,
+                "total": 0.14400242233276367,
+                "mean": 0.048000807444254556,
+                "stdev": 8.913191544108569e-05,
+                "p50": 0.04800432586669922,
+                "p90": 0.04808740081787109,
+                "p95": 0.04809778518676758,
+                "p99": 0.04810609268188477,
                 "values": [
-                    0.04772035980224609,
-                    0.04773667907714844,
-                    0.04784244155883789
+                    0.04788992691040039,
+                    0.04810816955566406,
+                    0.04800432586669922
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 125.61106254505012
+                "value": 124.99789731595793
             },
             "energy": null,
             "efficiency": null