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": "0.3.1",
-            "optimum_benchmark_commit": "c895bf73a88625eb69457460ea71175ef52a6cb9",
+            "optimum_benchmark_commit": "78f186000310f5748c0db3b53c71221ca44cb3f0",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1249.898496,
-                "max_global_vram": 3236.63872,
-                "max_process_vram": 275279.265792,
+                "max_ram": 1252.704256,
+                "max_global_vram": 3236.704256,
+                "max_process_vram": 295840.845824,
                 "max_reserved": 2780.823552,
                 "max_allocated": 2572.832768
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.688025260925293,
-                "mean": 0.1376050521850586,
-                "stdev": 0.18367450858373416,
-                "p50": 0.04626961898803711,
-                "p90": 0.32171581726074217,
-                "p95": 0.41333329620361314,
-                "p99": 0.4866272793579101,
+                "total": 0.7456652107238769,
+                "mean": 0.14913304214477538,
+                "stdev": 0.19501878971591782,
+                "p50": 0.05179104614257812,
+                "p90": 0.34430454406738287,
+                "p95": 0.44173741607666006,
+                "p99": 0.519683713684082,
                 "values": [
-                    0.5049507751464843,
-                    0.046863380432128905,
-                    0.04535970306396484,
-                    0.04458178329467773,
-                    0.04626961898803711
+                    0.5391702880859375,
+                    0.051340816497802734,
+                    0.05135713195800781,
+                    0.05200592803955078,
+                    0.05179104614257812
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 72.67175035515024
+                "value": 67.05422122544915
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1249.898496,
-                "max_global_vram": 3236.63872,
-                "max_process_vram": 275279.265792,
+                "max_ram": 1252.704256,
+                "max_global_vram": 3236.704256,
+                "max_process_vram": 295840.845824,
                 "max_reserved": 2780.823552,
                 "max_allocated": 2572.832768
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.5518141555786132,
-                "mean": 0.2759070777893066,
-                "stdev": 0.22904369735717772,
-                "p50": 0.2759070777893066,
-                "p90": 0.4591420356750488,
-                "p95": 0.48204640541076654,
-                "p99": 0.5003699011993408,
+                "total": 0.5905111045837402,
+                "mean": 0.2952555522918701,
+                "stdev": 0.2439147357940674,
+                "p50": 0.2952555522918701,
+                "p90": 0.490387340927124,
+                "p95": 0.5147788145065307,
+                "p99": 0.5342919933700562,
                 "values": [
-                    0.5049507751464843,
-                    0.046863380432128905
+                    0.5391702880859375,
+                    0.051340816497802734
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 14.497634609629534
+                "value": 13.547586045209624
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1249.898496,
-                "max_global_vram": 3236.63872,
-                "max_process_vram": 275279.265792,
+                "max_ram": 1252.704256,
+                "max_global_vram": 3236.704256,
+                "max_process_vram": 295840.845824,
                 "max_reserved": 2780.823552,
                 "max_allocated": 2572.832768
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.13621110534667968,
-                "mean": 0.04540370178222656,
-                "stdev": 0.0006897580480869054,
-                "p50": 0.04535970306396484,
-                "p90": 0.04608763580322266,
-                "p95": 0.04617862739562988,
-                "p99": 0.04625142066955566,
+                "total": 0.15515410614013672,
+                "mean": 0.051718035380045574,
+                "stdev": 0.0002698543032089298,
+                "p50": 0.05179104614257812,
+                "p90": 0.05196295166015625,
+                "p95": 0.051984439849853514,
+                "p99": 0.05200163040161133,
                 "values": [
-                    0.04535970306396484,
-                    0.04458178329467773,
-                    0.04626961898803711
+                    0.05135713195800781,
+                    0.05200592803955078,
+                    0.05179104614257812
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 132.14781536488553
+                "value": 116.01368760258411
             },
             "energy": null,
             "efficiency": null