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

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -69,6 +69,8 @@
             "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher",
             "device_isolation": true,
             "device_isolation_action": "error",
+            "numactl": false,
+            "numactl_kwargs": {},
             "start_method": "spawn"
         },
         "environment": {
@@ -87,7 +89,7 @@
             "gpu_vram_mb": 24146608128,
             "optimum_benchmark_version": "0.2.1",
             "optimum_benchmark_commit": null,
-            "transformers_version": "4.40.2",
+            "transformers_version": "4.41.0",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
             "accelerate_commit": null,
@@ -105,8 +107,8 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1094.627328,
-                "max_global_vram": 3379.03616,
+                "max_ram": 1095.163904,
+                "max_global_vram": 3376.939008,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
                 "max_allocated": 2516.250112
@@ -114,24 +116,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.8718929634094238,
-                "mean": 0.17437859268188477,
-                "stdev": 0.24725933438822065,
-                "p50": 0.050634750366210936,
-                "p90": 0.42216323394775396,
-                "p95": 0.5455292182922362,
-                "p99": 0.6442220057678223,
+                "total": 1.0001684341430663,
+                "mean": 0.20003368682861328,
+                "stdev": 0.24762767573878855,
+                "p50": 0.07640882873535157,
+                "p90": 0.4477908905029297,
+                "p95": 0.5715398544311522,
+                "p99": 0.6705390255737304,
                 "values": [
-                    0.6688952026367188,
-                    0.050634750366210936,
-                    0.049949695587158206,
-                    0.05206528091430664,
-                    0.050348033905029295
+                    0.695288818359375,
+                    0.07654399871826172,
+                    0.07640882873535157,
+                    0.07596339416503907,
+                    0.07596339416503907
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 57.346488730086215
+                "value": 49.99157971111082
             },
             "energy": null,
             "efficiency": null
@@ -139,8 +141,8 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1094.627328,
-                "max_global_vram": 3379.03616,
+                "max_ram": 1095.163904,
+                "max_global_vram": 3376.939008,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
                 "max_allocated": 2516.250112
@@ -148,21 +150,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.7195299530029297,
-                "mean": 0.35976497650146483,
-                "stdev": 0.30913022613525387,
-                "p50": 0.35976497650146483,
-                "p90": 0.6070691574096679,
-                "p95": 0.6379821800231933,
-                "p99": 0.6627125981140136,
+                "total": 0.7718328170776366,
+                "mean": 0.3859164085388183,
+                "stdev": 0.3093724098205566,
+                "p50": 0.3859164085388183,
+                "p90": 0.6334143363952637,
+                "p95": 0.6643515773773192,
+                "p99": 0.6891013701629638,
                 "values": [
-                    0.6688952026367188,
-                    0.050634750366210936
+                    0.695288818359375,
+                    0.07654399871826172
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.118369661488472
+                "value": 10.364938912924327
             },
             "energy": null,
             "efficiency": null
@@ -170,8 +172,8 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1094.627328,
-                "max_global_vram": 3379.03616,
+                "max_ram": 1095.163904,
+                "max_global_vram": 3376.939008,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
                 "max_allocated": 2516.250112
@@ -179,22 +181,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.15236301040649414,
-                "mean": 0.05078767013549804,
-                "stdev": 0.0009179271323538415,
-                "p50": 0.050348033905029295,
-                "p90": 0.051721831512451175,
-                "p95": 0.051893556213378905,
-                "p99": 0.0520309359741211,
+                "total": 0.2283356170654297,
+                "mean": 0.07611187235514323,
+                "stdev": 0.00020997987016192323,
+                "p50": 0.07596339416503907,
+                "p90": 0.07631974182128907,
+                "p95": 0.07636428527832032,
+                "p99": 0.07639992004394532,
                 "values": [
-                    0.049949695587158206,
-                    0.05206528091430664,
-                    0.050348033905029295
+                    0.07640882873535157,
+                    0.07596339416503907,
+                    0.07596339416503907
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 118.13891017233925
+                "value": 78.83132833736617
             },
             "energy": null,
             "efficiency": null