Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.0",
-            "optimum_benchmark_commit": "19eeac52e408e408898ac1fac3d9abefced0131b",
+            "optimum_benchmark_commit": "57f6495c03ea0fa48e157048c97add150dcd765c",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2194.681856,
-                "max_global_vram": 2427.363328,
-                "max_process_vram": 333980.491776,
+                "max_ram": 2195.214336,
+                "max_global_vram": 2427.355136,
+                "max_process_vram": 430832.304128,
                 "max_reserved": 1935.671296,
                 "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.917271850585937,
-                "mean": 0.5834543701171875,
-                "stdev": 1.0913341222895394,
-                "p50": 0.03750404357910156,
-                "p90": 1.675373930358887,
-                "p95": 2.2207480003356928,
-                "p99": 2.6570472563171386,
+                "total": 2.9790683708190913,
+                "mean": 0.5958136741638183,
+                "stdev": 1.114439468002388,
+                "p50": 0.03836766052246094,
+                "p90": 1.7108024658203127,
+                "p95": 2.2677473022460934,
+                "p99": 2.713303171386719,
                 "values": [
-                    2.7661220703125,
-                    0.039251720428466794,
-                    0.03750404357910156,
-                    0.03704068756103516,
-                    0.03735332870483398
+                    2.824692138671875,
+                    0.03996795654296875,
+                    0.037897750854492186,
+                    0.038142864227294924,
+                    0.03836766052246094
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 17.139300881389385
+                "value": 16.783770553830074
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2194.681856,
-                "max_global_vram": 2427.363328,
-                "max_process_vram": 333980.491776,
+                "max_ram": 2195.214336,
+                "max_global_vram": 2427.355136,
+                "max_process_vram": 430832.304128,
                 "max_reserved": 1935.671296,
                 "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 2.805373790740967,
-                "mean": 1.4026868953704834,
-                "stdev": 1.3634351749420166,
-                "p50": 1.4026868953704834,
-                "p90": 2.493435035324097,
-                "p95": 2.629778552818298,
-                "p99": 2.7388533668136597,
+                "total": 2.8646600952148438,
+                "mean": 1.4323300476074219,
+                "stdev": 1.3923620910644532,
+                "p50": 1.4323300476074219,
+                "p90": 2.5462197204589847,
+                "p95": 2.6854559295654297,
+                "p99": 2.796844896850586,
                 "values": [
-                    2.7661220703125,
-                    0.039251720428466794
+                    2.824692138671875,
+                    0.03996795654296875
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 2.851669900960687
+                "value": 2.7926524383689633
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2194.681856,
-                "max_global_vram": 2427.363328,
-                "max_process_vram": 333980.491776,
+                "max_ram": 2195.214336,
+                "max_global_vram": 2427.355136,
+                "max_process_vram": 430832.304128,
                 "max_reserved": 1935.671296,
                 "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.1118980598449707,
-                "mean": 0.0372993532816569,
-                "stdev": 0.0001929761809135114,
-                "p50": 0.03735332870483398,
-                "p90": 0.037473900604248045,
-                "p95": 0.0374889720916748,
-                "p99": 0.03750102928161621,
+                "total": 0.11440827560424804,
+                "mean": 0.03813609186808268,
+                "stdev": 0.00019189957903306427,
+                "p50": 0.038142864227294924,
+                "p90": 0.03832270126342774,
+                "p95": 0.038345180892944336,
+                "p99": 0.03836316459655762,
                 "values": [
-                    0.03750404357910156,
-                    0.03704068756103516,
-                    0.03735332870483398
+                    0.037897750854492186,
+                    0.038142864227294924,
+                    0.03836766052246094
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 160.86069789715856
+                "value": 157.33127612432654
             },
             "energy": null,
             "efficiency": null