IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base/benchmark.json with huggingface_hub
eebb56a
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_multiple-choice_FacebookAI/roberta-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "multiple-choice", | |
| "library": "transformers", | |
| "model_type": "roberta", | |
| "model": "FacebookAI/roberta-base", | |
| "processor": "FacebookAI/roberta-base", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "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, | |
| "memory": true, | |
| "latency": true, | |
| "energy": true, | |
| "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": false, | |
| "device_isolation_action": null, | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16766.7712, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.15", | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": "99a90c9b7ca414e68efe537586f446369de53efc", | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "load": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 939.925504, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 4.265173038, | |
| "mean": 4.265173038, | |
| "stdev": 0.0, | |
| "p50": 4.265173038, | |
| "p90": 4.265173038, | |
| "p95": 4.265173038, | |
| "p99": 4.265173038, | |
| "values": [ | |
| 4.265173038 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 4.7329101594445754e-05, | |
| "ram": 1.979197092309632e-06, | |
| "gpu": 0, | |
| "total": 4.9308298686755386e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 951.468032, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 22, | |
| "total": 1.0052796760000433, | |
| "mean": 0.045694530727274696, | |
| "stdev": 0.0009584441789652066, | |
| "p50": 0.045858745500027, | |
| "p90": 0.04683503370001176, | |
| "p95": 0.04703842479996752, | |
| "p99": 0.04705239650996248, | |
| "values": [ | |
| 0.045785824000006414, | |
| 0.046471088999965104, | |
| 0.0440799140000081, | |
| 0.04684904800001277, | |
| 0.04580444900000202, | |
| 0.04530522300001394, | |
| 0.04601557499995579, | |
| 0.043835936999983005, | |
| 0.04705346099996177, | |
| 0.04572025099997745, | |
| 0.045681127000023025, | |
| 0.04704839199996513, | |
| 0.04614438600003723, | |
| 0.045150132000003396, | |
| 0.04670890500000269, | |
| 0.04595943900000066, | |
| 0.045973425999989104, | |
| 0.044773534000000836, | |
| 0.04608996400003207, | |
| 0.04591304200005197, | |
| 0.04557004900004813, | |
| 0.0433465090000027 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 21.884457156775397 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.5200273636751544e-06, | |
| "ram": 6.356151154292304e-08, | |
| "gpu": 0.0, | |
| "total": 1.5835888752180775e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 631477.0302123327 | |
| } | |
| } | |
| } | |
| } |