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

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.2.2+rocm5.7",
+            "version": "2.4.0+rocm6.1",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "token-classification",
             "library": "transformers",
@@ -11,7 +11,7 @@
             "model": "microsoft/deberta-v3-base",
             "processor": "microsoft/deberta-v3-base",
             "device": "cuda",
-            "device_ids": "6",
+            "device_ids": "0",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
@@ -103,7 +103,7 @@
             "transformers_commit": null,
             "accelerate_version": "0.33.0",
             "accelerate_commit": null,
-            "diffusers_version": "0.30.1",
+            "diffusers_version": "0.30.2",
             "diffusers_commit": null,
             "optimum_version": null,
             "optimum_commit": null,
@@ -117,33 +117,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1154.998272,
-                "max_global_vram": 4373.344256,
-                "max_process_vram": 424744.640512,
+                "max_ram": 1648.529408,
+                "max_global_vram": 11.096064,
+                "max_process_vram": 0.0,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.8925701980590821,
-                "mean": 0.17851403961181642,
-                "stdev": 0.21285204630492566,
-                "p50": 0.07232091522216796,
-                "p90": 0.39155395812988286,
-                "p95": 0.4978857742309569,
-                "p99": 0.5829512271118164,
+                "total": 1.0006525344848634,
+                "mean": 0.20013050689697268,
+                "stdev": 0.232193031981129,
+                "p50": 0.08403827667236329,
+                "p90": 0.4323841796875001,
+                "p95": 0.5484503601074218,
+                "p99": 0.6413033044433594,
                 "values": [
-                    0.6042175903320313,
-                    0.07255850982666015,
-                    0.07190106964111329,
-                    0.07157211303710938,
-                    0.07232091522216796
+                    0.6645165405273438,
+                    0.08395124053955078,
+                    0.08403827667236329,
+                    0.0839608383178711,
+                    0.08418563842773437
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 56.018002963493906
+                "value": 49.96739455193609
             },
             "energy": null,
             "efficiency": null
@@ -151,30 +151,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1154.998272,
-                "max_global_vram": 4373.344256,
-                "max_process_vram": 424744.640512,
+                "max_ram": 1648.529408,
+                "max_global_vram": 11.096064,
+                "max_process_vram": 0.0,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6767761001586914,
-                "mean": 0.3383880500793457,
-                "stdev": 0.26582954025268557,
-                "p50": 0.3383880500793457,
-                "p90": 0.5510516822814941,
-                "p95": 0.5776346363067627,
-                "p99": 0.5989009995269775,
+                "total": 0.7484677810668945,
+                "mean": 0.37423389053344724,
+                "stdev": 0.2902826499938965,
+                "p50": 0.37423389053344724,
+                "p90": 0.6064600105285645,
+                "p95": 0.6354882755279541,
+                "p99": 0.6587108875274659,
                 "values": [
-                    0.6042175903320313,
-                    0.07255850982666015
+                    0.6645165405273438,
+                    0.08395124053955078
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.820748395406028
+                "value": 10.688502835214223
             },
             "energy": null,
             "efficiency": null
@@ -182,31 +182,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1154.998272,
-                "max_global_vram": 4373.344256,
-                "max_process_vram": 424744.640512,
+                "max_ram": 1648.529408,
+                "max_global_vram": 11.096064,
+                "max_process_vram": 0.0,
                 "max_reserved": 3919.577088,
                 "max_allocated": 3695.353344
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.21579409790039064,
-                "mean": 0.07193136596679688,
-                "stdev": 0.0003064469269977788,
-                "p50": 0.07190106964111329,
-                "p90": 0.07223694610595703,
-                "p95": 0.07227893066406249,
-                "p99": 0.07231251831054687,
+                "total": 0.25218475341796875,
+                "mean": 0.08406158447265626,
+                "stdev": 9.324238133133451e-05,
+                "p50": 0.08403827667236329,
+                "p90": 0.08415616607666015,
+                "p95": 0.08417090225219725,
+                "p99": 0.08418269119262695,
                 "values": [
-                    0.07190106964111329,
-                    0.07157211303710938,
-                    0.07232091522216796
+                    0.08403827667236329,
+                    0.0839608383178711,
+                    0.08418563842773437
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 83.4128466678857
+                "value": 71.37624204492236
             },
             "energy": null,
             "efficiency": null