IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
5782c2d
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_text-classification_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "text-classification", | |
| "model": "FacebookAI/roberta-base", | |
| "library": "transformers", | |
| "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 | |
| }, | |
| "no_weights": true, | |
| "device_map": null, | |
| "torch_dtype": null, | |
| "eval_mode": true, | |
| "to_bettertransformer": false, | |
| "low_cpu_mem_usage": null, | |
| "attn_implementation": null, | |
| "cache_implementation": null, | |
| "autocast_enabled": false, | |
| "autocast_dtype": null, | |
| "torch_compile": false, | |
| "torch_compile_target": "forward", | |
| "torch_compile_config": {}, | |
| "quantization_scheme": null, | |
| "quantization_config": {}, | |
| "deepspeed_inference": false, | |
| "deepspeed_inference_config": {}, | |
| "peft_type": null, | |
| "peft_config": {} | |
| }, | |
| "scenario": { | |
| "name": "inference", | |
| "_target_": "optimum_benchmark.scenarios.inference.scenario.InferenceScenario", | |
| "iterations": 1, | |
| "duration": 1, | |
| "warmup_runs": 1, | |
| "input_shapes": { | |
| "batch_size": 1, | |
| "num_choices": 2, | |
| "sequence_length": 2 | |
| }, | |
| "new_tokens": null, | |
| "latency": true, | |
| "memory": true, | |
| "energy": false, | |
| "forward_kwargs": {}, | |
| "generate_kwargs": { | |
| "max_new_tokens": 2, | |
| "min_new_tokens": 2 | |
| }, | |
| "call_kwargs": { | |
| "num_inference_steps": 2 | |
| } | |
| }, | |
| "launcher": { | |
| "name": "process", | |
| "_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
| "device_isolation": true, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 128, | |
| "cpu_ram_mb": 1082015.236096, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.15.0-84-generic-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "Advanced Micro Devices, Inc. [AMD/ATI]" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 68702699520, | |
| "optimum_benchmark_version": "0.2.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "0.9.16", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1011.310592, | |
| "max_global_vram": 897.14688, | |
| "max_process_vram": 222345.35936, | |
| "max_reserved": 555.74528, | |
| "max_allocated": 499.443712 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 130, | |
| "total": 0.9979781708717345, | |
| "mean": 0.007676755160551805, | |
| "stdev": 0.000754682042599847, | |
| "p50": 0.007872199058532713, | |
| "p90": 0.008240805435180664, | |
| "p95": 0.008409059715270997, | |
| "p99": 0.009847812995910634, | |
| "values": [ | |
| 0.0076050801277160645, | |
| 0.007288122177124023, | |
| 0.006812283992767334, | |
| 0.00695388412475586, | |
| 0.006803964138031006, | |
| 0.006822525024414062, | |
| 0.006824443817138672, | |
| 0.006835003852844238, | |
| 0.006824924945831299, | |
| 0.0068326048851013186, | |
| 0.006793724060058594, | |
| 0.006803005218505859, | |
| 0.006790524005889893, | |
| 0.006758685111999512, | |
| 0.006776124000549316, | |
| 0.006732765197753906, | |
| 0.00675884485244751, | |
| 0.006758685111999512, | |
| 0.00674684476852417, | |
| 0.006764285087585449, | |
| 0.006947644233703613, | |
| 0.006739964962005615, | |
| 0.006752924919128418, | |
| 0.006735324859619141, | |
| 0.006754205226898193, | |
| 0.006742684841156006, | |
| 0.007091322898864746, | |
| 0.006758204936981201, | |
| 0.006769403934478759, | |
| 0.00677084493637085, | |
| 0.006783005237579346, | |
| 0.006783804893493652, | |
| 0.006771164894104004, | |
| 0.006745405197143554, | |
| 0.006737724781036377, | |
| 0.006750685214996338, | |
| 0.006765404224395752, | |
| 0.010254507064819335, | |
| 0.007207481861114502, | |
| 0.006951643943786621, | |
| 0.00691404390335083, | |
| 0.006889883995056152, | |
| 0.006911643981933594, | |
| 0.006952603816986084, | |
| 0.006876605033874512, | |
| 0.0069247641563415525, | |
| 0.007800280094146728, | |
| 0.007893558979034423, | |
| 0.007863318920135498, | |
| 0.008093077659606934, | |
| 0.007886038780212403, | |
| 0.008046519279479981, | |
| 0.007744919776916504, | |
| 0.007647960186004638, | |
| 0.0077255601882934575, | |
| 0.007729720115661621, | |
| 0.007751319885253906, | |
| 0.00769644021987915, | |
| 0.008149718284606934, | |
| 0.008291956901550292, | |
| 0.007982839107513427, | |
| 0.008048598289489745, | |
| 0.007958518028259278, | |
| 0.008013717651367188, | |
| 0.008058518409729003, | |
| 0.008768914222717285, | |
| 0.00808123779296875, | |
| 0.007971477985382081, | |
| 0.007872919082641601, | |
| 0.007870199203491211, | |
| 0.007863638877868652, | |
| 0.007853719234466552, | |
| 0.008034997940063477, | |
| 0.007893398761749267, | |
| 0.007848120212554932, | |
| 0.012225056648254394, | |
| 0.00818811798095703, | |
| 0.00777851915359497, | |
| 0.00807083797454834, | |
| 0.007857879161834717, | |
| 0.007778678894042969, | |
| 0.007803799152374268, | |
| 0.007830039978027344, | |
| 0.008294516563415528, | |
| 0.007969557762145996, | |
| 0.00797403907775879, | |
| 0.008289396286010742, | |
| 0.008143478393554688, | |
| 0.008129076957702637, | |
| 0.008172278404235839, | |
| 0.008037558555603027, | |
| 0.008014999389648437, | |
| 0.007998357772827149, | |
| 0.007988277912139893, | |
| 0.008038357734680176, | |
| 0.007935638904571534, | |
| 0.008563155174255372, | |
| 0.008175156593322753, | |
| 0.008050357818603516, | |
| 0.008027478218078614, | |
| 0.008009398460388183, | |
| 0.008087318420410156, | |
| 0.00848443603515625, | |
| 0.008133398056030274, | |
| 0.008046358108520509, | |
| 0.00795947790145874, | |
| 0.008472275733947755, | |
| 0.008257077217102051, | |
| 0.008238997459411621, | |
| 0.008169878005981445, | |
| 0.008062357902526856, | |
| 0.007983798027038575, | |
| 0.008020598411560059, | |
| 0.007871479034423827, | |
| 0.007902039051055907, | |
| 0.008098998069763184, | |
| 0.007902519226074219, | |
| 0.00782283878326416, | |
| 0.007940279006958009, | |
| 0.007884278774261474, | |
| 0.007818359851837159, | |
| 0.008031159400939942, | |
| 0.008852113723754882, | |
| 0.008193717002868653, | |
| 0.008229717254638672, | |
| 0.0081285982131958, | |
| 0.008331795692443848, | |
| 0.00827403736114502, | |
| 0.008198837280273437, | |
| 0.008226996421813964 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 130.26337027637078 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |