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

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

@@ -74,14 +74,14 @@
         "environment": {
             "cpu": " AMD EPYC 7763 64-Core Processor",
             "cpu_count": 4,
-            "cpu_ram_mb": 16757.354496,
+            "cpu_ram_mb": 16757.3504,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
             "processor": "x86_64",
             "python_version": "3.10.14",
             "optimum_benchmark_version": "0.2.0",
-            "optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
+            "optimum_benchmark_commit": "6422f8f56820540ec4876445962a50a44754b92e",
             "transformers_version": "4.40.2",
             "transformers_commit": null,
             "accelerate_version": "0.30.1",
@@ -90,7 +90,7 @@
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
-            "timm_version": "0.9.16",
+            "timm_version": "1.0.3",
             "timm_commit": null,
             "peft_version": null,
             "peft_commit": null
@@ -100,7 +100,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2504.011776,
+                "max_ram": 2489.01632,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -109,24 +109,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 2.833267071999984,
-                "mean": 0.5666534143999968,
-                "stdev": 0.043893458765379555,
-                "p50": 0.5456392669999843,
-                "p90": 0.6117135240000096,
-                "p95": 0.6330246850000094,
-                "p99": 0.6500736138000093,
+                "total": 2.9586196340000583,
+                "mean": 0.5917239268000116,
+                "stdev": 0.04475679830742006,
+                "p50": 0.5655190969999921,
+                "p90": 0.6443130032000226,
+                "p95": 0.6609408746000213,
+                "p99": 0.6742431717200202,
                 "values": [
-                    0.6543358460000093,
-                    0.5411756999999966,
-                    0.54778004100001,
-                    0.5456392669999843,
-                    0.5443362179999838
+                    0.6775687460000199,
+                    0.5944293890000267,
+                    0.5655190969999921,
+                    0.5626762530000065,
+                    0.5584261490000131
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 17.647471533527312
+                "value": 16.89977292971585
             },
             "energy": null,
             "efficiency": null
@@ -134,7 +134,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2504.011776,
+                "max_ram": 2489.01632,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -143,21 +143,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 1.1955115460000059,
-                "mean": 0.5977557730000029,
-                "stdev": 0.05658007300000634,
-                "p50": 0.5977557730000029,
-                "p90": 0.643019831400008,
-                "p95": 0.6486778387000086,
-                "p99": 0.6532042445400091,
+                "total": 1.2719981350000467,
+                "mean": 0.6359990675000233,
+                "stdev": 0.0415696784999966,
+                "p50": 0.6359990675000233,
+                "p90": 0.6692548103000207,
+                "p95": 0.6734117781500203,
+                "p99": 0.67673735243002,
                 "values": [
-                    0.6543358460000093,
-                    0.5411756999999966
+                    0.6775687460000199,
+                    0.5944293890000267
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 6.691696141929156
+                "value": 6.289317397465922
             },
             "energy": null,
             "efficiency": null
@@ -165,7 +165,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 2504.011776,
+                "max_ram": 2489.01632,
                 "max_global_vram": null,
                 "max_process_vram": null,
                 "max_reserved": null,
@@ -174,22 +174,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 1.637755525999978,
-                "mean": 0.5459185086666594,
-                "stdev": 0.0014197326380186227,
-                "p50": 0.5456392669999843,
-                "p90": 0.5473518862000049,
-                "p95": 0.5475659636000074,
-                "p99": 0.5477372255200095,
+                "total": 1.6866214990000117,
+                "mean": 0.5622071663333372,
+                "stdev": 0.0029146194214953545,
+                "p50": 0.5626762530000065,
+                "p90": 0.564950528199995,
+                "p95": 0.5652348125999935,
+                "p99": 0.5654622401199925,
                 "values": [
-                    0.54778004100001,
-                    0.5456392669999843,
-                    0.5443362179999838
+                    0.5655190969999921,
+                    0.5626762530000065,
+                    0.5584261490000131
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 10.99065136050119
+                "value": 10.672222552998463
             },
             "energy": null,
             "efficiency": null