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

cuda_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -88,7 +88,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "bb03882362b0d86ebdf2f3e66d54ac5dde388b89",
+            "optimum_benchmark_commit": "4aa72a2fd35e7d46a674935ffaf335b1c0795600",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -107,33 +107,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.564992,
-                "max_global_vram": 3148.996608,
-                "max_process_vram": 310666.735616,
+                "max_ram": 1124.0448,
+                "max_global_vram": 3149.02528,
+                "max_process_vram": 303539.355648,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7401685218811035,
-                "mean": 0.1480337043762207,
-                "stdev": 0.20939242681053144,
-                "p50": 0.04321897506713867,
-                "p90": 0.3580264282226563,
-                "p95": 0.46242080688476556,
-                "p99": 0.5459363098144532,
+                "total": 0.7015154495239257,
+                "mean": 0.14030308990478516,
+                "stdev": 0.1958420062676565,
+                "p50": 0.042294509887695314,
+                "p90": 0.3363603164672852,
+                "p95": 0.43417350540161126,
+                "p99": 0.5124240565490722,
                 "values": [
-                    0.566815185546875,
-                    0.044843292236328124,
-                    0.0430274543762207,
-                    0.04321897506713867,
-                    0.04226361465454102
+                    0.5319866943359375,
+                    0.04292074966430664,
+                    0.04216762924194336,
+                    0.04214586639404297,
+                    0.042294509887695314
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 67.55218375529851
+                "value": 71.27426777832454
             },
             "energy": null,
             "efficiency": null
@@ -141,30 +141,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.564992,
-                "max_global_vram": 3148.996608,
-                "max_process_vram": 310666.735616,
+                "max_ram": 1124.0448,
+                "max_global_vram": 3149.02528,
+                "max_process_vram": 303539.355648,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6116584777832031,
-                "mean": 0.3058292388916016,
-                "stdev": 0.26098594665527347,
-                "p50": 0.3058292388916016,
-                "p90": 0.5146179962158204,
-                "p95": 0.5407165908813477,
-                "p99": 0.5615954666137696,
+                "total": 0.5749074440002441,
+                "mean": 0.28745372200012204,
+                "stdev": 0.24453297233581542,
+                "p50": 0.2874537220001221,
+                "p90": 0.4830800998687744,
+                "p95": 0.5075333971023559,
+                "p99": 0.5270960348892212,
                 "values": [
-                    0.566815185546875,
-                    0.044843292236328124
+                    0.5319866943359375,
+                    0.04292074966430664
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.07919417547177
+                "value": 13.91528337906963
             },
             "energy": null,
             "efficiency": null
@@ -172,31 +172,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1124.564992,
-                "max_global_vram": 3148.996608,
-                "max_process_vram": 310666.735616,
+                "max_ram": 1124.0448,
+                "max_global_vram": 3149.02528,
+                "max_process_vram": 303539.355648,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.88416
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12851004409790037,
-                "mean": 0.04283668136596679,
-                "stdev": 0.0004126937004370931,
-                "p50": 0.0430274543762207,
-                "p90": 0.04318067092895508,
-                "p95": 0.04319982299804687,
-                "p99": 0.04321514465332031,
+                "total": 0.12660800552368165,
+                "mean": 0.042202668507893885,
+                "stdev": 6.554659752195237e-05,
+                "p50": 0.04216762924194336,
+                "p90": 0.04226913375854492,
+                "p95": 0.04228182182312012,
+                "p99": 0.04229197227478027,
                 "values": [
-                    0.0430274543762207,
-                    0.04321897506713867,
-                    0.04226361465454102
+                    0.04216762924194336,
+                    0.04214586639404297,
+                    0.042294509887695314
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 140.06687279857596
+                "value": 142.1711046276071
             },
             "energy": null,
             "efficiency": null