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

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224",
         "backend": {
             "name": "pytorch",
-            "version": "2.4.0+rocm6.1",
+            "version": "2.2.2+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "image-classification",
             "library": "transformers",
@@ -110,33 +110,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1967.173632,
-                "max_global_vram": 0.0,
-                "max_process_vram": 0.0,
+                "max_ram": 2200.137728,
+                "max_global_vram": 2427.342848,
+                "max_process_vram": 473600.79872,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.8655623474121095,
-                "mean": 0.1731124694824219,
-                "stdev": 0.2494994980636001,
-                "p50": 0.048398563385009766,
-                "p90": 0.42292776947021493,
-                "p95": 0.547519213104248,
-                "p99": 0.6471923680114746,
+                "total": 2.9612713890075684,
+                "mean": 0.5922542778015136,
+                "stdev": 1.109012220338398,
+                "p50": 0.038144363403320315,
+                "p90": 1.7014673171997072,
+                "p95": 2.2558729408264155,
+                "p99": 2.699397439727783,
                 "values": [
-                    0.6721106567382813,
-                    0.049153438568115236,
-                    0.048398563385009766,
-                    0.04809408569335937,
-                    0.04780560302734375
+                    2.810278564453125,
+                    0.03825044631958008,
+                    0.03744276809692383,
+                    0.038144363403320315,
+                    0.03715524673461914
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 57.765913858766915
+                "value": 16.88463954556926
             },
             "energy": null,
             "efficiency": null
@@ -144,30 +144,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1967.173632,
-                "max_global_vram": 0.0,
-                "max_process_vram": 0.0,
+                "max_ram": 2200.137728,
+                "max_global_vram": 2427.342848,
+                "max_process_vram": 473600.79872,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.7212640953063966,
-                "mean": 0.3606320476531983,
-                "stdev": 0.31147860908508307,
-                "p50": 0.3606320476531983,
-                "p90": 0.6098149349212647,
-                "p95": 0.640962795829773,
-                "p99": 0.6658810845565797,
+                "total": 2.848529010772705,
+                "mean": 1.4242645053863525,
+                "stdev": 1.3860140590667724,
+                "p50": 1.4242645053863525,
+                "p90": 2.5330757526397707,
+                "p95": 2.671677158546448,
+                "p99": 2.7825582832717894,
                 "values": [
-                    0.6721106567382813,
-                    0.049153438568115236
+                    2.810278564453125,
+                    0.03825044631958008
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.091637656802478
+                "value": 2.808467096436516
             },
             "energy": null,
             "efficiency": null
@@ -175,31 +175,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1967.173632,
-                "max_global_vram": 0.0,
-                "max_process_vram": 0.0,
+                "max_ram": 2200.137728,
+                "max_global_vram": 2427.342848,
+                "max_process_vram": 473600.79872,
                 "max_reserved": 1935.671296,
-                "max_allocated": 1735.56736
+                "max_allocated": 1738.272256
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.14429825210571287,
-                "mean": 0.04809941736857096,
-                "stdev": 0.00024210440793353944,
-                "p50": 0.04809408569335937,
-                "p90": 0.048337667846679686,
-                "p95": 0.048368115615844726,
-                "p99": 0.04839247383117676,
+                "total": 0.1127423782348633,
+                "mean": 0.03758079274495443,
+                "stdev": 0.0004154323440093109,
+                "p50": 0.03744276809692383,
+                "p90": 0.03800404434204102,
+                "p95": 0.038074203872680665,
+                "p99": 0.03813033149719239,
                 "values": [
-                    0.048398563385009766,
-                    0.04809408569335937,
-                    0.04780560302734375
+                    0.03744276809692383,
+                    0.038144363403320315,
+                    0.03715524673461914
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 124.74163572551942
+                "value": 159.65602537231084
             },
             "energy": null,
             "efficiency": null