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

cpu_training_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json

@@ -79,17 +79,17 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.342208,
+            "cpu_ram_mb": 16757.338112,
             "system": "Linux",
             "machine": "x86_64",
-            "platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35",
+            "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
+            "optimum_benchmark_commit": "50da7b73412b5fcfdb3831f32e0f2c5b8acaf7cf",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
-            "accelerate_version": "0.31.0",
+            "accelerate_version": "0.32.1",
             "accelerate_commit": null,
             "diffusers_version": "0.29.2",
             "diffusers_commit": null,
@@ -105,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2841.362432,
+                "max_ram": 2838.8352,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -114,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 3.778079966000007,
-                "mean": 0.7556159932000014,
-                "stdev": 0.04641736143143004,
-                "p50": 0.7333113180000055,
-                "p90": 0.8049182105999932,
-                "p95": 0.8264618517999907,
-                "p99": 0.8436967647599886,
+                "total": 3.6569978890000527,
+                "mean": 0.7313995778000105,
+                "stdev": 0.0517200919112856,
+                "p50": 0.7066776700000048,
+                "p90": 0.7844941304000145,
+                "p95": 0.8095739672000206,
+                "p99": 0.8296378366400257,
                 "values": [
-                    0.8480054929999881,
-                    0.7298892240000043,
-                    0.740287287000001,
-                    0.7265866440000082,
-                    0.7333113180000055
+                    0.8346538040000269,
+                    0.6998843610000165,
+                    0.7092546199999958,
+                    0.7066776700000048,
+                    0.7065274340000087
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.234235497915321
+                "value": 13.672416970869977
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2841.362432,
+                "max_ram": 2838.8352,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -148,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.5778947169999924,
-                "mean": 0.7889473584999962,
-                "stdev": 0.059058134499991866,
-                "p50": 0.7889473584999962,
-                "p90": 0.8361938660999897,
-                "p95": 0.8420996795499889,
-                "p99": 0.8468243303099883,
+                "total": 1.5345381650000434,
+                "mean": 0.7672690825000217,
+                "stdev": 0.06738472150000518,
+                "p50": 0.7672690825000217,
+                "p90": 0.8211768597000259,
+                "p95": 0.8279153318500263,
+                "p99": 0.8333061095700267,
                 "values": [
-                    0.8480054929999881,
-                    0.7298892240000043
+                    0.8346538040000269,
+                    0.6998843610000165
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 5.070046761554648
+                "value": 5.213294906874977
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2841.362432,
+                "max_ram": 2838.8352,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -179,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 2.2001852490000147,
-                "mean": 0.7333950830000049,
-                "stdev": 0.005593577691408362,
-                "p50": 0.7333113180000055,
-                "p90": 0.7388920932000019,
-                "p95": 0.7395896901000014,
-                "p99": 0.7401477676200011,
+                "total": 2.1224597240000094,
+                "mean": 0.7074865746666698,
+                "stdev": 0.0012517004272710297,
+                "p50": 0.7066776700000048,
+                "p90": 0.7087392299999976,
+                "p95": 0.7089969249999968,
+                "p99": 0.7092030809999961,
                 "values": [
-                    0.740287287000001,
-                    0.7265866440000082,
-                    0.7333113180000055
+                    0.7092546199999958,
+                    0.7066776700000048,
+                    0.7065274340000087
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 8.181129297263041
+                "value": 8.480726299049396
             },
             "energy": null,
             "efficiency": null