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

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -89,7 +89,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.2.1",
-            "optimum_benchmark_commit": "88e73025c13ec1a964328bd3aa8fa3b1b8ab2582",
+            "optimum_benchmark_commit": "dd02f26cb819965cbf86e16d9ce013cddc3b86af",
             "transformers_version": "4.42.3",
             "transformers_commit": null,
             "accelerate_version": "0.31.0",
@@ -108,33 +108,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1638.064128,
-                "max_global_vram": 3156.246528,
-                "max_process_vram": 974305.427456,
+                "max_ram": 1637.66272,
+                "max_global_vram": 3156.348928,
+                "max_process_vram": 839896.641536,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7604440727233888,
-                "mean": 0.15208881454467776,
-                "stdev": 0.2175456130352162,
-                "p50": 0.04321455764770508,
-                "p90": 0.3699035690307618,
-                "p95": 0.4785415061950683,
-                "p99": 0.5654518559265137,
+                "total": 0.7066571998596192,
+                "mean": 0.14133143997192382,
+                "stdev": 0.19722934579309043,
+                "p50": 0.04276172637939453,
+                "p90": 0.3388029617309571,
+                "p95": 0.43729622573852533,
+                "p99": 0.51609083694458,
                 "values": [
-                    0.587179443359375,
-                    0.043989757537841796,
-                    0.04321455764770508,
-                    0.04313503646850586,
-                    0.042925277709960935
+                    0.5357894897460938,
+                    0.04332316970825195,
+                    0.04223100662231445,
+                    0.04255180740356445,
+                    0.04276172637939453
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 65.75105493417065
+                "value": 70.75566485409438
             },
             "energy": null,
             "efficiency": null
@@ -142,30 +142,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1638.064128,
-                "max_global_vram": 3156.246528,
-                "max_process_vram": 974305.427456,
+                "max_ram": 1637.66272,
+                "max_global_vram": 3156.348928,
+                "max_process_vram": 839896.641536,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6311692008972168,
-                "mean": 0.3155846004486084,
-                "stdev": 0.27159484291076663,
-                "p50": 0.3155846004486084,
-                "p90": 0.5328604747772216,
-                "p95": 0.5600199590682983,
-                "p99": 0.5817475465011597,
+                "total": 0.5791126594543456,
+                "mean": 0.2895563297271728,
+                "stdev": 0.2462331600189209,
+                "p50": 0.2895563297271728,
+                "p90": 0.4865428577423096,
+                "p95": 0.5111661737442016,
+                "p99": 0.5308648265457153,
                 "values": [
-                    0.587179443359375,
-                    0.043989757537841796
+                    0.5357894897460938,
+                    0.04332316970825195
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 12.674889694598335
+                "value": 13.814237816071572
             },
             "energy": null,
             "efficiency": null
@@ -173,31 +173,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1638.064128,
-                "max_global_vram": 3156.246528,
-                "max_process_vram": 974305.427456,
+                "max_ram": 1637.66272,
+                "max_global_vram": 3156.348928,
+                "max_process_vram": 839896.641536,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.12927487182617187,
-                "mean": 0.04309162394205729,
-                "stdev": 0.00012202241921002217,
-                "p50": 0.04313503646850586,
-                "p90": 0.04319865341186523,
-                "p95": 0.043206605529785155,
-                "p99": 0.043212967224121095,
+                "total": 0.1275445404052734,
+                "mean": 0.0425148468017578,
+                "stdev": 0.0002182360032979832,
+                "p50": 0.04255180740356445,
+                "p90": 0.04271974258422851,
+                "p95": 0.042740734481811524,
+                "p99": 0.04275752799987793,
                 "values": [
-                    0.04321455764770508,
-                    0.04313503646850586,
-                    0.042925277709960935
+                    0.04223100662231445,
+                    0.04255180740356445,
+                    0.04276172637939453
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 139.23819645478756
+                "value": 141.12716971502593
             },
             "energy": null,
             "efficiency": null