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

cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json

@@ -6,17 +6,19 @@
             "version": "2.2.2",
             "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
             "task": "text-classification",
-            "library": "transformers",
             "model": "FacebookAI/roberta-base",
-            "processor": "FacebookAI/roberta-base",
+            "library": "transformers",
             "device": "cuda",
             "device_ids": "0",
             "seed": 42,
             "inter_op_num_threads": null,
             "intra_op_num_threads": null,
-            "model_kwargs": {},
-            "processor_kwargs": {},
-            "hub_kwargs": {},
+            "hub_kwargs": {
+                "revision": "main",
+                "force_download": false,
+                "local_files_only": false,
+                "trust_remote_code": false
+            },
             "no_weights": true,
             "device_map": null,
             "torch_dtype": null,
@@ -74,7 +76,7 @@
         "environment": {
             "cpu": " AMD EPYC 7R32",
             "cpu_count": 16,
-            "cpu_ram_mb": 66697.29792,
+            "cpu_ram_mb": 66697.289728,
             "system": "Linux",
             "machine": "x86_64",
             "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35",
@@ -89,7 +91,7 @@
             "optimum_benchmark_commit": null,
             "transformers_version": "4.40.2",
             "transformers_commit": null,
-            "accelerate_version": "0.30.0",
+            "accelerate_version": "0.30.1",
             "accelerate_commit": null,
             "diffusers_version": "0.27.2",
             "diffusers_commit": null,
@@ -105,7 +107,7 @@
         "overall": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1080.045568,
+                "max_ram": 1079.74656,
                 "max_global_vram": 3379.03616,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
@@ -114,24 +116,24 @@
             "latency": {
                 "unit": "s",
                 "count": 5,
-                "total": 0.7572070236206054,
-                "mean": 0.1514414047241211,
-                "stdev": 0.20586505703812857,
-                "p50": 0.04825395202636719,
-                "p90": 0.35769199676513674,
-                "p95": 0.460431142425537,
-                "p99": 0.5426224589538574,
+                "total": 0.799269847869873,
+                "mean": 0.1598539695739746,
+                "stdev": 0.2237324071376042,
+                "p50": 0.047784896850585935,
+                "p90": 0.3840653457641602,
+                "p95": 0.49569118118286115,
+                "p99": 0.5849918495178222,
                 "values": [
-                    0.5631702880859375,
-                    0.04947455978393555,
-                    0.04825395202636719,
-                    0.048247806549072264,
-                    0.04806041717529297
+                    0.6073170166015625,
+                    0.04918783950805664,
+                    0.047784896850585935,
+                    0.047480831146240236,
+                    0.04749926376342774
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 66.03213974551329
+                "value": 62.557095245435015
             },
             "energy": null,
             "efficiency": null
@@ -139,7 +141,7 @@
         "warmup": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1080.045568,
+                "max_ram": 1079.74656,
                 "max_global_vram": 3379.03616,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
@@ -148,21 +150,21 @@
             "latency": {
                 "unit": "s",
                 "count": 2,
-                "total": 0.612644847869873,
-                "mean": 0.3063224239349365,
-                "stdev": 0.25684786415100097,
-                "p50": 0.3063224239349365,
-                "p90": 0.5118007152557373,
-                "p95": 0.5374855016708374,
-                "p99": 0.5580333308029175,
+                "total": 0.6565048561096191,
+                "mean": 0.32825242805480953,
+                "stdev": 0.2790645885467529,
+                "p50": 0.32825242805480953,
+                "p90": 0.5515040988922119,
+                "p95": 0.5794105577468871,
+                "p99": 0.6017357248306274,
                 "values": [
-                    0.5631702880859375,
-                    0.04947455978393555
+                    0.6073170166015625,
+                    0.04918783950805664
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 13.058136419192111
+                "value": 12.185743830452658
             },
             "energy": null,
             "efficiency": null
@@ -170,7 +172,7 @@
         "train": {
             "memory": {
                 "unit": "MB",
-                "max_ram": 1080.045568,
+                "max_ram": 1079.74656,
                 "max_global_vram": 3379.03616,
                 "max_process_vram": 0.0,
                 "max_reserved": 2730.491904,
@@ -179,22 +181,22 @@
             "latency": {
                 "unit": "s",
                 "count": 3,
-                "total": 0.14456217575073244,
-                "mean": 0.048187391916910814,
-                "stdev": 8.98197471958264e-05,
-                "p50": 0.048247806549072264,
-                "p90": 0.0482527229309082,
-                "p95": 0.0482533374786377,
-                "p99": 0.048253829116821294,
+                "total": 0.14276499176025392,
+                "mean": 0.047588330586751305,
+                "stdev": 0.00013919689269167117,
+                "p50": 0.04749926376342774,
+                "p90": 0.0477277702331543,
+                "p95": 0.047756333541870116,
+                "p99": 0.04777918418884277,
                 "values": [
-                    0.04825395202636719,
-                    0.048247806549072264,
-                    0.04806041717529297
+                    0.047784896850585935,
+                    0.047480831146240236,
+                    0.04749926376342774
                 ]
             },
             "throughput": {
                 "unit": "samples/s",
-                "value": 124.51389795790895
+                "value": 126.08132972982274
             },
             "energy": null,
             "efficiency": null