IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
62d3a13
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "library": "transformers", | |
| "model": "microsoft/deberta-v3-base", | |
| "processor": "microsoft/deberta-v3-base", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "seed": 42, | |
| "inter_op_num_threads": null, | |
| "intra_op_num_threads": null, | |
| "model_kwargs": {}, | |
| "processor_kwargs": {}, | |
| "hub_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, | |
| "latency": true, | |
| "memory": 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": true, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.29792, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.215-203.850.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "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": 973.7216, | |
| "max_global_vram": 1434.976256, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 794.820608, | |
| "max_allocated": 753.607168 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 70, | |
| "total": 1.0061576690673828, | |
| "mean": 0.014373680986676898, | |
| "stdev": 0.00026425860773658167, | |
| "p50": 0.014342656135559082, | |
| "p90": 0.014797517108917236, | |
| "p95": 0.014924031782150269, | |
| "p99": 0.014994319257736206, | |
| "values": [ | |
| 0.014791680335998534, | |
| 0.014904319763183594, | |
| 0.014857215881347656, | |
| 0.014670751571655273, | |
| 0.014220288276672363, | |
| 0.01420902442932129, | |
| 0.014218239784240723, | |
| 0.014090239524841308, | |
| 0.014104576110839843, | |
| 0.014255104064941406, | |
| 0.014347264289855957, | |
| 0.014137344360351562, | |
| 0.014187520027160644, | |
| 0.014226431846618653, | |
| 0.014338047981262207, | |
| 0.014148608207702636, | |
| 0.014213120460510254, | |
| 0.014131199836730958, | |
| 0.014117888450622559, | |
| 0.014134271621704102, | |
| 0.01409331226348877, | |
| 0.01438003158569336, | |
| 0.01448140811920166, | |
| 0.014326784133911133, | |
| 0.014186464309692382, | |
| 0.01436569595336914, | |
| 0.0142673921585083, | |
| 0.01415987205505371, | |
| 0.014188544273376465, | |
| 0.014384127616882325, | |
| 0.01406873607635498, | |
| 0.0140697603225708, | |
| 0.01407795238494873, | |
| 0.014150624275207519, | |
| 0.014461952209472656, | |
| 0.01448960018157959, | |
| 0.014296064376831055, | |
| 0.014125056266784668, | |
| 0.014151647567749023, | |
| 0.014020607948303223, | |
| 0.014054400444030762, | |
| 0.014038016319274902, | |
| 0.013894656181335448, | |
| 0.014030847549438476, | |
| 0.014228480339050293, | |
| 0.014315520286560059, | |
| 0.015007743835449219, | |
| 0.014940159797668457, | |
| 0.014850048065185547, | |
| 0.014645248413085938, | |
| 0.014537728309631348, | |
| 0.014452735900878906, | |
| 0.014501888275146485, | |
| 0.014515232086181641, | |
| 0.014433279991149902, | |
| 0.014564352035522461, | |
| 0.014943231582641601, | |
| 0.014523391723632812, | |
| 0.014533632278442383, | |
| 0.014446592330932618, | |
| 0.01448857593536377, | |
| 0.014561280250549317, | |
| 0.014525440216064453, | |
| 0.014503935813903808, | |
| 0.014445568084716797, | |
| 0.014445568084716797, | |
| 0.014988287925720215, | |
| 0.014632960319519044, | |
| 0.014562303543090821, | |
| 0.01449779224395752 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 69.57160110391413 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.6822979810278927e-07, | |
| "ram": 9.195499344161976e-08, | |
| "gpu": 3.5134613397182783e-07, | |
| "total": 6.115309255162369e-07 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 1635240.2769423781 | |
| } | |
| } | |
| } | |
| } |