IlyasMoutawwakil
HF staff
Upload cpu_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
119459f
verified
| { | |
| "config": { | |
| "name": "cpu_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "library": "transformers", | |
| "model_type": "deberta-v2", | |
| "model": "microsoft/deberta-v3-base", | |
| "processor": "microsoft/deberta-v3-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": "warn", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16757.342208, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": "f9861fced16a3dc82c7a05e66fd9a3b22cd9c663", | |
| "transformers_version": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.2", | |
| "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": 1165.795328, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 1, | |
| "total": 4.835607434999986, | |
| "mean": 4.835607434999986, | |
| "stdev": 0.0, | |
| "p50": 4.835607434999986, | |
| "p90": 4.835607434999986, | |
| "p95": 4.835607434999986, | |
| "p99": 4.835607434999986, | |
| "values": [ | |
| 4.835607434999986 | |
| ] | |
| }, | |
| "throughput": null, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 6.852975227777608e-05, | |
| "ram": 2.8643700587278335e-06, | |
| "gpu": 0, | |
| "total": 7.139412233650391e-05 | |
| }, | |
| "efficiency": null | |
| }, | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1193.312256, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 7, | |
| "total": 1.0278451109999764, | |
| "mean": 0.14683501585713948, | |
| "stdev": 0.005652283542019504, | |
| "p50": 0.1495459710000091, | |
| "p90": 0.15127071900000147, | |
| "p95": 0.15198538649999022, | |
| "p99": 0.15255712049998124, | |
| "values": [ | |
| 0.1495459710000091, | |
| 0.14908463599999777, | |
| 0.15031782900001645, | |
| 0.15000919900001009, | |
| 0.152700053999979, | |
| 0.1371441910000044, | |
| 0.13904323099995963 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 6.810364640631307 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 5.478206538194563e-06, | |
| "ram": 2.2894519319453488e-07, | |
| "gpu": 0.0, | |
| "total": 5.707151731389098e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 175218.75132564665 | |
| } | |
| } | |
| } | |
| } |