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

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_multiple-choice_FacebookAI/roberta-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.1+rocm5.7",
+            "version": "2.2.0.dev20231010+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "multiple-choice",
             "library": "transformers",
@@ -11,7 +11,7 @@
             "model": "FacebookAI/roberta-base",
             "processor": "FacebookAI/roberta-base",
             "device": "cuda",
-            "device_ids": "5",
+            "device_ids": "6",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
@@ -117,33 +117,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1286.950912,
+                "max_ram": 1207.762944,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 287529.848832,
+                "max_process_vram": 301872.992256,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.763032039642334,
-                "mean": 0.1526064079284668,
-                "stdev": 0.22117954088393454,
-                "p50": 0.04324320983886719,
-                "p90": 0.3747401519775392,
-                "p95": 0.4848465469360351,
-                "p99": 0.572931662902832,
+                "total": 0.7126135177612304,
+                "mean": 0.14252270355224608,
+                "stdev": 0.19942088848838452,
+                "p50": 0.04278790283203125,
+                "p90": 0.3422091720581055,
+                "p95": 0.4417865013122558,
+                "p99": 0.5214483647155761,
                 "values": [
-                    0.5949529418945313,
-                    0.04442096710205078,
-                    0.04324320983886719,
-                    0.0403572998046875,
-                    0.040057621002197265
+                    0.5413638305664062,
+                    0.043477184295654295,
+                    0.04250981903076172,
+                    0.04278790283203125,
+                    0.04247478103637695
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 65.52804784375392
+                "value": 70.16425980394199
             },
             "energy": null,
             "efficiency": null
@@ -151,30 +151,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1286.950912,
+                "max_ram": 1207.762944,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 287529.848832,
+                "max_process_vram": 301872.992256,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6393739089965821,
-                "mean": 0.31968695449829104,
-                "stdev": 0.27526598739624025,
-                "p50": 0.31968695449829104,
-                "p90": 0.5398997444152832,
-                "p95": 0.5674263431549073,
-                "p99": 0.5894476221466065,
+                "total": 0.5848410148620605,
+                "mean": 0.29242050743103026,
+                "stdev": 0.24894332313537598,
+                "p50": 0.29242050743103026,
+                "p90": 0.49157516593933104,
+                "p95": 0.5164694982528686,
+                "p99": 0.5363849641036987,
                 "values": [
-                    0.5949529418945313,
-                    0.04442096710205078
+                    0.5413638305664062,
+                    0.043477184295654295
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.512240314208325
+                "value": 13.67893119104662
             },
             "energy": null,
             "efficiency": null
@@ -182,31 +182,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1286.950912,
+                "max_ram": 1207.762944,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 287529.848832,
+                "max_process_vram": 301872.992256,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12365813064575196,
-                "mean": 0.04121937688191732,
-                "stdev": 0.0014362861192192488,
-                "p50": 0.0403572998046875,
-                "p90": 0.04266602783203125,
-                "p95": 0.04295461883544922,
-                "p99": 0.043185491638183596,
+                "total": 0.12777250289916992,
+                "mean": 0.0425908342997233,
+                "stdev": 0.0001400807388190403,
+                "p50": 0.04250981903076172,
+                "p90": 0.04273228607177734,
+                "p95": 0.0427600944519043,
+                "p99": 0.04278234115600586,
                 "values": [
-                    0.04324320983886719,
-                    0.0403572998046875,
-                    0.040057621002197265
+                    0.04250981903076172,
+                    0.04278790283203125,
+                    0.04247478103637695
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 145.56260802264
+                "value": 140.875380786776
             },
             "energy": null,
             "efficiency": null