Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -90,8 +90,8 @@
             ],
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
-            "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "3731aa19b0b76022fb42f78436721c579f50c777",
+            "optimum_benchmark_version": "0.3.0",
+            "optimum_benchmark_commit": "748abd0c7ac21cfb1798768cad39007b466ce8e8",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.93888,
-                "max_global_vram": 3155.959808,
-                "max_process_vram": 269602.361344,
+                "max_ram": 1123.741696,
+                "max_global_vram": 3156.0704,
+                "max_process_vram": 262874.517504,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7234746742248536,
-                "mean": 0.1446949348449707,
-                "stdev": 0.1992997713102987,
-                "p50": 0.04500122833251953,
-                "p90": 0.3442575790405274,
-                "p95": 0.4437756706237792,
-                "p99": 0.5233901438903809,
+                "total": 0.7166147575378417,
+                "mean": 0.14332295150756832,
+                "stdev": 0.1993942059865711,
+                "p50": 0.043179027557373045,
+                "p90": 0.34334024047851563,
+                "p95": 0.44272416687011706,
+                "p99": 0.5222313079833983,
                 "values": [
-                    0.5432937622070313,
-                    0.04570330429077148,
-                    0.04500122833251953,
-                    0.044526992797851564,
-                    0.044949386596679686
+                    0.5421080932617187,
+                    0.04518846130371094,
+                    0.04307422637939453,
+                    0.043064949035644534,
+                    0.043179027557373045
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 69.11091954057837
+                "value": 69.77249557599251
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.93888,
-                "max_global_vram": 3155.959808,
-                "max_process_vram": 269602.361344,
+                "max_ram": 1123.741696,
+                "max_global_vram": 3156.0704,
+                "max_process_vram": 262874.517504,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.5889970664978028,
-                "mean": 0.2944985332489014,
-                "stdev": 0.24879522895812992,
-                "p50": 0.2944985332489014,
-                "p90": 0.4935347164154053,
-                "p95": 0.5184142393112183,
-                "p99": 0.5383178576278687,
+                "total": 0.5872965545654296,
+                "mean": 0.2936482772827148,
+                "stdev": 0.24845981597900388,
+                "p50": 0.2936482772827148,
+                "p90": 0.49241613006591795,
+                "p95": 0.5172621116638183,
+                "p99": 0.5371388969421387,
                 "values": [
-                    0.5432937622070313,
-                    0.04570330429077148
+                    0.5421080932617187,
+                    0.04518846130371094
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.582410601071887
+                "value": 13.621738349750075
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1122.93888,
-                "max_global_vram": 3155.959808,
-                "max_process_vram": 269602.361344,
+                "max_ram": 1123.741696,
+                "max_global_vram": 3156.0704,
+                "max_process_vram": 262874.517504,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.13447760772705078,
-                "mean": 0.04482586924235026,
-                "stdev": 0.00021239466126507452,
-                "p50": 0.044949386596679686,
-                "p90": 0.04499085998535156,
-                "p95": 0.044996044158935544,
-                "p99": 0.04500019149780273,
+                "total": 0.12931820297241212,
+                "mean": 0.04310606765747071,
+                "stdev": 5.172927940785401e-05,
+                "p50": 0.04307422637939453,
+                "p90": 0.04315806732177734,
+                "p95": 0.04316854743957519,
+                "p99": 0.043176931533813474,
                 "values": [
-                    0.04500122833251953,
-                    0.044526992797851564,
-                    0.044949386596679686
+                    0.04307422637939453,
+                    0.043064949035644534,
+                    0.043179027557373045
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 133.8512805532249
+                "value": 139.1915413782853
             },
             "energy": null,
             "efficiency": null