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

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -3,7 +3,7 @@
         "name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
         "backend": {
             "name": "pytorch",
-            "version": "2.3.1+rocm5.7",
+            "version": "2.2.0.dev20231010+rocm5.7",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "text-classification",
             "library": "transformers",
@@ -11,7 +11,7 @@
             "model": "FacebookAI/roberta-base",
             "processor": "FacebookAI/roberta-base",
             "device": "cuda",
-            "device_ids": "5",
+            "device_ids": "6",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
@@ -117,33 +117,33 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1284.243456,
+                "max_ram": 1204.969472,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 297713.082368,
+                "max_process_vram": 320473.74336,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.8041057929992675,
-                "mean": 0.16082115859985352,
-                "stdev": 0.22991618158426386,
-                "p50": 0.04617120361328125,
-                "p90": 0.3908701553344728,
-                "p95": 0.5057616462707519,
-                "p99": 0.5976748390197755,
+                "total": 0.778887508392334,
+                "mean": 0.1557775016784668,
+                "stdev": 0.2212261478530836,
+                "p50": 0.04505558395385742,
+                "p90": 0.3772017852783204,
+                "p95": 0.4877156387329101,
+                "p99": 0.576126721496582,
                 "values": [
-                    0.6206531372070313,
-                    0.04617120361328125,
-                    0.04541744613647461,
-                    0.0456683235168457,
-                    0.04619568252563477
+                    0.5982294921875,
+                    0.04566022491455078,
+                    0.04505558395385742,
+                    0.0450219841003418,
+                    0.04492022323608398
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 62.18087275991748
+                "value": 64.19412233635985
             },
             "energy": null,
             "efficiency": null
@@ -151,30 +151,30 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1284.243456,
+                "max_ram": 1204.969472,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 297713.082368,
+                "max_process_vram": 320473.74336,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.6668243408203125,
-                "mean": 0.33341217041015625,
-                "stdev": 0.287240966796875,
-                "p50": 0.33341217041015625,
-                "p90": 0.5632049438476563,
-                "p95": 0.5919290405273437,
-                "p99": 0.6149083178710938,
+                "total": 0.6438897171020508,
+                "mean": 0.3219448585510254,
+                "stdev": 0.2762846336364746,
+                "p50": 0.3219448585510254,
+                "p90": 0.5429725654602051,
+                "p95": 0.5706010288238526,
+                "p99": 0.5927037995147705,
                 "values": [
-                    0.6206531372070313,
-                    0.04617120361328125
+                    0.5982294921875,
+                    0.04566022491455078
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 11.9971625363264
+                "value": 12.424487901446128
             },
             "energy": null,
             "efficiency": null
@@ -182,31 +182,31 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1284.243456,
+                "max_ram": 1204.969472,
                 "max_global_vram": 68702.69952,
-                "max_process_vram": 297713.082368,
+                "max_process_vram": 320473.74336,
                 "max_reserved": 2707.423232,
                 "max_allocated": 2497.900032
             },
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.13728145217895507,
-                "mean": 0.04576048405965169,
-                "stdev": 0.00032432817083008275,
-                "p50": 0.0456683235168457,
-                "p90": 0.04609021072387695,
-                "p95": 0.04614294662475586,
-                "p99": 0.04618513534545898,
+                "total": 0.13499779129028322,
+                "mean": 0.04499926376342774,
+                "stdev": 5.754876923764531e-05,
+                "p50": 0.0450219841003418,
+                "p90": 0.045048863983154296,
+                "p95": 0.045052223968505854,
+                "p99": 0.045054911956787104,
                 "values": [
-                    0.04541744613647461,
-                    0.0456683235168457,
-                    0.04619568252563477
+                    0.04505558395385742,
+                    0.0450219841003418,
+                    0.04492022323608398
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 131.11749412830991
+                "value": 133.33551481071964
             },
             "energy": null,
             "efficiency": null