Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
         "backend": {
             "name": "pytorch",
-            "version": "2.2.0.dev20231010+rocm5.7",
+            "version": "2.3.1+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "fill-mask",
             "library": "transformers",
@@ -109,7 +109,7 @@
             "optimum_commit": null,
             "timm_version": "1.0.9",
             "timm_commit": null,
-            "peft_version": "0.12.0",
+            "peft_version": null,
             "peft_commit": null
         }
     },
@@ -117,33 +117,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1202.614272,
+                "max_ram": 1271.668736,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 293614.73536,
+                "max_process_vram": 297291.862016,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7320550727844237,
-                "mean": 0.14641101455688474,
-                "stdev": 0.2113477767473539,
-                "p50": 0.04028536987304687,
-                "p90": 0.35837830657958986,
-                "p95": 0.46374091110229476,
-                "p99": 0.5480309947204589,
+                "total": 0.7202230644226074,
+                "mean": 0.14404461288452147,
+                "stdev": 0.20529287456994777,
+                "p50": 0.041651134490966794,
+                "p90": 0.34944696044921886,
+                "p95": 0.45203842163085933,
+                "p99": 0.5341115905761719,
                 "values": [
-                    0.569103515625,
-                    0.04229049301147461,
-                    0.04028536987304687,
-                    0.0402386474609375,
-                    0.04013704681396484
+                    0.5546298828125,
+                    0.04146169662475586,
+                    0.040807773590087894,
+                    0.041672576904296876,
+                    0.041651134490966794
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 68.30087224151242
+                "value": 69.42293640663159
             },
             "energy": null,
             "efficiency": null
@@ -151,30 +151,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1202.614272,
+                "max_ram": 1271.668736,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 293614.73536,
+                "max_process_vram": 297291.862016,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6113940086364745,
-                "mean": 0.30569700431823726,
-                "stdev": 0.2634065113067626,
-                "p50": 0.30569700431823726,
-                "p90": 0.5164222133636475,
-                "p95": 0.5427628644943236,
-                "p99": 0.5638353853988647,
+                "total": 0.5960915794372559,
+                "mean": 0.29804578971862794,
+                "stdev": 0.2565840930938721,
+                "p50": 0.29804578971862794,
+                "p90": 0.5033130641937256,
+                "p95": 0.5289714735031128,
+                "p99": 0.5494982009506226,
                 "values": [
-                    0.569103515625,
-                    0.04229049301147461
+                    0.5546298828125,
+                    0.04146169662475586
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.084851809132918
+                "value": 13.420756601783323
             },
             "energy": null,
             "efficiency": null
@@ -182,31 +182,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1202.614272,
+                "max_ram": 1271.668736,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 293614.73536,
+                "max_process_vram": 297291.862016,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12066106414794922,
-                "mean": 0.04022035471598307,
-                "stdev": 6.191876857269598e-05,
-                "p50": 0.0402386474609375,
-                "p90": 0.040276025390625,
-                "p95": 0.040280697631835935,
-                "p99": 0.040284435424804685,
+                "total": 0.12413148498535156,
+                "mean": 0.04137716166178385,
+                "stdev": 0.00040271331938455354,
+                "p50": 0.041651134490966794,
+                "p90": 0.04166828842163086,
+                "p95": 0.041670432662963865,
+                "p99": 0.04167214805603028,
                 "values": [
-                    0.04028536987304687,
-                    0.0402386474609375,
-                    0.04013704681396484
+                    0.040807773590087894,
+                    0.041672576904296876,
+                    0.041651134490966794
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 149.1781970191246
+                "value": 145.0075297344919
             },
             "energy": null,
             "efficiency": null