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

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.4.0",
-            "optimum_benchmark_commit": "a4519acdcbbeba6e03efbda65aae011ed2a194fb",
+            "optimum_benchmark_commit": "d662120356cf9cce87fb802aea1c49ce74710c29",
             "transformers_version": "4.43.3",
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.583232,
-                "max_global_vram": 2953.187328,
-                "max_process_vram": 284394.770432,
+                "max_ram": 1135.878144,
+                "max_global_vram": 2953.170944,
+                "max_process_vram": 307819.384832,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.632560531616211,
-                "mean": 0.1265121063232422,
-                "stdev": 0.1741863465856684,
-                "p50": 0.03932641220092774,
-                "p90": 0.3009424041748048,
-                "p95": 0.38791327972412104,
-                "p99": 0.45748998016357423,
+                "total": 0.6524114418029785,
+                "mean": 0.1304822883605957,
+                "stdev": 0.1751748998002701,
+                "p50": 0.041480648040771485,
+                "p90": 0.30822105560302737,
+                "p95": 0.39449366073608394,
+                "p99": 0.46351174484252927,
                 "values": [
-                    0.4748841552734375,
-                    0.04002977752685547,
-                    0.039009452819824215,
-                    0.03931073379516602,
-                    0.03932641220092774
+                    0.4807662658691406,
+                    0.049403240203857425,
+                    0.04094896697998047,
+                    0.041480648040771485,
+                    0.039812320709228514
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 79.04381873502052
+                "value": 76.63875400747415
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.583232,
-                "max_global_vram": 2953.187328,
-                "max_process_vram": 284394.770432,
+                "max_ram": 1135.878144,
+                "max_global_vram": 2953.170944,
+                "max_process_vram": 307819.384832,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.514913932800293,
-                "mean": 0.2574569664001465,
-                "stdev": 0.21742718887329104,
-                "p50": 0.2574569664001465,
-                "p90": 0.43139871749877934,
-                "p95": 0.4531414363861084,
-                "p99": 0.4705356114959717,
+                "total": 0.5301695060729981,
+                "mean": 0.26508475303649903,
+                "stdev": 0.2156815128326416,
+                "p50": 0.26508475303649903,
+                "p90": 0.43762996330261233,
+                "p95": 0.45919811458587645,
+                "p99": 0.4764526356124878,
                 "values": [
-                    0.4748841552734375,
-                    0.04002977752685547
+                    0.4807662658691406,
+                    0.049403240203857425
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 15.536577067342172
+                "value": 15.08951365244778
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1135.583232,
-                "max_global_vram": 2953.187328,
-                "max_process_vram": 284394.770432,
+                "max_ram": 1135.878144,
+                "max_global_vram": 2953.170944,
+                "max_process_vram": 307819.384832,
                 "max_reserved": 2497.708032,
                 "max_allocated": 2195.345408
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.11764659881591798,
-                "mean": 0.03921553293863932,
-                "stdev": 0.00014586115459560398,
-                "p50": 0.03931073379516602,
-                "p90": 0.039323276519775394,
-                "p95": 0.039324844360351566,
-                "p99": 0.0393260986328125,
+                "total": 0.12224193572998046,
+                "mean": 0.040747311909993485,
+                "stdev": 0.0006958580299323095,
+                "p50": 0.04094896697998047,
+                "p90": 0.04137431182861328,
+                "p95": 0.04142747993469238,
+                "p99": 0.04147001441955567,
                 "values": [
-                    0.039009452819824215,
-                    0.03931073379516602,
-                    0.03932641220092774
+                    0.04094896697998047,
+                    0.041480648040771485,
+                    0.039812320709228514
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 153.00059824223786
+                "value": 147.24897714120056
             },
             "energy": null,
             "efficiency": null