Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub

cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json

@@ -6,19 +6,17 @@
             "version": "2.3.0+cu121",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
-            "model": "google/vit-base-patch16-224",
             "library": "transformers",
+            "model": "google/vit-base-patch16-224",
+            "processor": "google/vit-base-patch16-224",
             "device": "cuda",
             "device_ids": "0",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "hub_kwargs": {
-                "revision": "main",
-                "force_download": false,
-                "local_files_only": false,
-                "trust_remote_code": false
-            },
+            "model_kwargs": {},
+            "processor_kwargs": {},
+            "hub_kwargs": {},
             "no_weights": true,
             "device_map": null,
             "torch_dtype": null,
@@ -107,7 +105,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1457.713152,
+                "max_ram": 1458.044928,
                 "max_global_vram": 2628.255744,
                 "max_process_vram": 0.0,
                 "max_reserved": 1956.642816,
@@ -116,24 +114,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.4969226379394531,
-                "mean": 0.09938452758789063,
-                "stdev": 0.11645548545452769,
-                "p50": 0.04095795059204101,
-                "p90": 0.21614224243164065,
-                "p95": 0.2742182006835937,
-                "p99": 0.3206789672851562,
+                "total": 0.4949104499816894,
+                "mean": 0.09898208999633788,
+                "stdev": 0.1151130334646747,
+                "p50": 0.041455615997314454,
+                "p90": 0.21423963317871098,
+                "p95": 0.271723713684082,
+                "p99": 0.3177109780883789,
                 "values": [
-                    0.33229415893554687,
-                    0.04191436767578125,
-                    0.04080332946777344,
-                    0.04095795059204101,
-                    0.04095283126831055
+                    0.3292077941894531,
+                    0.041455615997314454,
+                    0.04124262237548828,
+                    0.04178739166259766,
+                    0.04121702575683594
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 100.619283933875
+                "value": 101.02837796585199
             },
             "energy": null,
             "efficiency": null
@@ -141,7 +139,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1457.713152,
+                "max_ram": 1458.044928,
                 "max_global_vram": 2628.255744,
                 "max_process_vram": 0.0,
                 "max_reserved": 1956.642816,
@@ -150,21 +148,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.37420852661132814,
-                "mean": 0.18710426330566407,
-                "stdev": 0.14518989562988283,
-                "p50": 0.18710426330566407,
-                "p90": 0.3032561798095703,
-                "p95": 0.31777516937255856,
-                "p99": 0.3293903610229492,
+                "total": 0.3706634101867676,
+                "mean": 0.1853317050933838,
+                "stdev": 0.14387608909606933,
+                "p50": 0.1853317050933838,
+                "p90": 0.30043257637023923,
+                "p95": 0.3148201852798462,
+                "p99": 0.3263302724075317,
                 "values": [
-                    0.33229415893554687,
-                    0.04191436767578125
+                    0.3292077941894531,
+                    0.041455615997314454
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 21.37845460776794
+                "value": 21.582923429018823
             },
             "energy": null,
             "efficiency": null
@@ -172,7 +170,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1457.713152,
+                "max_ram": 1458.044928,
                 "max_global_vram": 2628.255744,
                 "max_process_vram": 0.0,
                 "max_reserved": 1956.642816,
@@ -181,22 +179,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.122714111328125,
-                "mean": 0.04090470377604167,
-                "stdev": 7.171292143684576e-05,
-                "p50": 0.04095283126831055,
-                "p90": 0.04095692672729492,
-                "p95": 0.040957438659667965,
-                "p99": 0.0409578482055664,
+                "total": 0.12424703979492188,
+                "mean": 0.04141567993164063,
+                "stdev": 0.00026304753045779046,
+                "p50": 0.04124262237548828,
+                "p90": 0.04167843780517578,
+                "p95": 0.04173291473388672,
+                "p99": 0.04177649627685547,
                 "values": [
-                    0.04080332946777344,
-                    0.04095795059204101,
-                    0.04095283126831055
+                    0.04124262237548828,
+                    0.04178739166259766,
+                    0.04121702575683594
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 146.68239703802146
+                "value": 144.87266682337233
             },
             "energy": null,
             "efficiency": null