Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json

@@ -91,7 +91,7 @@
             "gpu_count": 1,
             "gpu_vram_mb": 68702699520,
             "optimum_benchmark_version": "0.3.1",
-            "optimum_benchmark_commit": "802823c7274dfd9b1edbe9a02521fdbafa78149a",
+            "optimum_benchmark_commit": "2cd267cd040017299b1552b6228f28f2c1190ba4",
             "transformers_version": "4.42.4",
             "transformers_commit": null,
             "accelerate_version": "0.32.1",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1150.173184,
-                "max_global_vram": 4657.9712,
-                "max_process_vram": 432551.153664,
+                "max_ram": 1155.1744,
+                "max_global_vram": 6078.713856,
+                "max_process_vram": 451155.156992,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.884187858581543,
-                "mean": 0.1768375717163086,
-                "stdev": 0.20844270679703952,
-                "p50": 0.0723255386352539,
-                "p90": 0.3857605529785157,
-                "p95": 0.48974081115722645,
-                "p99": 0.5729250177001953,
+                "total": 0.8802549285888671,
+                "mean": 0.17605098571777342,
+                "stdev": 0.2070195159791262,
+                "p50": 0.07296430969238281,
+                "p90": 0.3838159149169922,
+                "p95": 0.48694991912841784,
+                "p99": 0.5694571224975585,
                 "values": [
-                    0.5937210693359375,
-                    0.07381977844238281,
-                    0.07231705474853516,
-                    0.0720044174194336,
-                    0.0723255386352539
+                    0.5900839233398437,
+                    0.07296430969238281,
+                    0.07441390228271484,
+                    0.07141887664794921,
+                    0.07137391662597656
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 56.54906874678468
+                "value": 56.80172683628683
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1150.173184,
-                "max_global_vram": 4657.9712,
-                "max_process_vram": 432551.153664,
+                "max_ram": 1155.1744,
+                "max_global_vram": 6078.713856,
+                "max_process_vram": 451155.156992,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6675408477783203,
-                "mean": 0.3337704238891602,
-                "stdev": 0.2599506454467773,
-                "p50": 0.3337704238891602,
-                "p90": 0.5417309402465821,
-                "p95": 0.5677260047912598,
-                "p99": 0.588522056427002,
+                "total": 0.6630482330322265,
+                "mean": 0.33152411651611324,
+                "stdev": 0.2585598068237305,
+                "p50": 0.33152411651611324,
+                "p90": 0.5383719619750976,
+                "p95": 0.5642279426574707,
+                "p99": 0.5849127272033691,
                 "values": [
-                    0.5937210693359375,
-                    0.07381977844238281
+                    0.5900839233398437,
+                    0.07296430969238281
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.984285346170564
+                "value": 12.065487247307349
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1150.173184,
-                "max_global_vram": 4657.9712,
-                "max_process_vram": 432551.153664,
+                "max_ram": 1155.1744,
+                "max_global_vram": 6078.713856,
+                "max_process_vram": 451155.156992,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.21664701080322266,
-                "mean": 0.07221567026774088,
-                "stdev": 0.00014941846945613245,
-                "p50": 0.07231705474853516,
-                "p90": 0.07232384185791015,
-                "p95": 0.07232469024658203,
-                "p99": 0.07232536895751952,
+                "total": 0.2172066955566406,
+                "mean": 0.07240223185221353,
+                "stdev": 0.0014225842193250331,
+                "p50": 0.07141887664794921,
+                "p90": 0.07381489715576171,
+                "p95": 0.07411439971923828,
+                "p99": 0.07435400177001952,
                 "values": [
-                    0.07231705474853516,
-                    0.0720044174194336,
-                    0.0723255386352539
+                    0.07441390228271484,
+                    0.07141887664794921,
+                    0.07137391662597656
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 83.08446044681014
+                "value": 82.87037355764281
             },
             "energy": null,
             "efficiency": null