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": "16c37a2d0a7e1a726b6a2a50e2fbcf32df3b575c",
+            "optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
             "transformers_version": "4.43.3",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1134.411776,
-                "max_global_vram": 3155.410944,
-                "max_process_vram": 303169.073152,
+                "max_ram": 1137.422336,
+                "max_global_vram": 3155.41504,
+                "max_process_vram": 300207.988736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.6382912750244141,
-                "mean": 0.12765825500488281,
-                "stdev": 0.1663118069419475,
-                "p50": 0.04329460144042969,
-                "p90": 0.29704883117675784,
-                "p95": 0.37861453399658196,
-                "p99": 0.44386709625244136,
+                "total": 0.6411532592773438,
+                "mean": 0.12823065185546875,
+                "stdev": 0.1712943744527168,
+                "p50": 0.042429481506347656,
+                "p90": 0.2999091903686524,
+                "p95": 0.3853635459899902,
+                "p99": 0.45372703048706053,
                 "values": [
-                    0.46018023681640624,
-                    0.05235172271728516,
-                    0.04329460144042969,
-                    0.04108115768432617,
-                    0.041383556365966793
+                    0.47081790161132814,
+                    0.04354612350463867,
+                    0.04224227523803711,
+                    0.042117477416992184,
+                    0.042429481506347656
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 78.3341429789833
+                "value": 77.98447450201839
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1134.411776,
-                "max_global_vram": 3155.410944,
-                "max_process_vram": 303169.073152,
+                "max_ram": 1137.422336,
+                "max_global_vram": 3155.41504,
+                "max_process_vram": 300207.988736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.5125319595336914,
-                "mean": 0.2562659797668457,
-                "stdev": 0.20391425704956054,
-                "p50": 0.25626597976684573,
-                "p90": 0.4193973854064941,
-                "p95": 0.4397888111114502,
-                "p99": 0.456101951675415,
+                "total": 0.5143640251159668,
+                "mean": 0.2571820125579834,
+                "stdev": 0.21363588905334474,
+                "p50": 0.2571820125579834,
+                "p90": 0.4280907238006592,
+                "p95": 0.4494543127059936,
+                "p99": 0.4665451838302612,
                 "values": [
-                    0.46018023681640624,
-                    0.05235172271728516
+                    0.47081790161132814,
+                    0.04354612350463867
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 15.608782732843647
+                "value": 15.553187255264104
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1134.411776,
-                "max_global_vram": 3155.410944,
-                "max_process_vram": 303169.073152,
+                "max_ram": 1137.422336,
+                "max_global_vram": 3155.41504,
+                "max_process_vram": 300207.988736,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12575931549072267,
-                "mean": 0.04191977183024089,
-                "stdev": 0.0009799587009846958,
-                "p50": 0.041383556365966793,
-                "p90": 0.042912392425537106,
-                "p95": 0.0431034969329834,
-                "p99": 0.04325638053894043,
+                "total": 0.12678923416137694,
+                "mean": 0.04226307805379231,
+                "stdev": 0.00012822169811474508,
+                "p50": 0.04224227523803711,
+                "p90": 0.042392040252685545,
+                "p95": 0.042410760879516604,
+                "p99": 0.042425737380981446,
                 "values": [
-                    0.04329460144042969,
-                    0.04108115768432617,
-                    0.041383556365966793
+                    0.04224227523803711,
+                    0.042117477416992184,
+                    0.042429481506347656
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 143.1305500492158
+                "value": 141.9678896166346
             },
             "energy": null,
             "efficiency": null