IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
02b90a9
verified
| { | |
| "config": { | |
| "name": "cuda_inference_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.2.2+rocm5.7", | |
| "_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": 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": "2db7e171d23768cdeb341987283e17e0b2db9bd9", | |
| "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": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1027.239936, | |
| "max_global_vram": 2103.209984, | |
| "max_process_vram": 289458.167808, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 80, | |
| "total": 1.0052957162857055, | |
| "mean": 0.012566196453571321, | |
| "stdev": 0.0006625729655892718, | |
| "p50": 0.012202911853790284, | |
| "p90": 0.013340913963317871, | |
| "p95": 0.013399683046340942, | |
| "p99": 0.014362688531875594, | |
| "values": [ | |
| 0.012973154067993164, | |
| 0.013207714080810546, | |
| 0.013374594688415528, | |
| 0.01344467544555664, | |
| 0.0133925142288208, | |
| 0.013397315025329589, | |
| 0.013371874809265136, | |
| 0.01333747386932373, | |
| 0.013068353652954102, | |
| 0.012853632926940918, | |
| 0.012794592857360839, | |
| 0.01296499252319336, | |
| 0.013110114097595214, | |
| 0.01329859447479248, | |
| 0.01288851261138916, | |
| 0.013084994316101075, | |
| 0.013012033462524414, | |
| 0.013114433288574218, | |
| 0.012974753379821777, | |
| 0.013265633583068847, | |
| 0.012972673416137696, | |
| 0.013068513870239258, | |
| 0.012804512977600097, | |
| 0.01641252326965332, | |
| 0.012443072319030761, | |
| 0.012344191551208496, | |
| 0.012093791007995605, | |
| 0.01215715217590332, | |
| 0.012088830947875977, | |
| 0.012147231101989746, | |
| 0.012369631767272949, | |
| 0.012226911544799804, | |
| 0.01211747169494629, | |
| 0.012100510597229004, | |
| 0.012129791259765625, | |
| 0.012191551208496094, | |
| 0.01208051109313965, | |
| 0.012076830863952637, | |
| 0.012138751029968262, | |
| 0.012081951141357421, | |
| 0.01236899185180664, | |
| 0.012155232429504394, | |
| 0.012077630996704102, | |
| 0.012095231056213379, | |
| 0.012163552284240722, | |
| 0.012072351455688477, | |
| 0.012065311431884766, | |
| 0.012145471572875977, | |
| 0.012082430839538574, | |
| 0.012077791213989258, | |
| 0.012136192321777343, | |
| 0.012068031311035156, | |
| 0.012052511215209961, | |
| 0.012146910667419434, | |
| 0.01208403205871582, | |
| 0.012060030937194825, | |
| 0.012184990882873534, | |
| 0.012086112022399903, | |
| 0.012099870681762695, | |
| 0.012276991844177246, | |
| 0.012069630622863769, | |
| 0.012191072463989257, | |
| 0.012101791381835937, | |
| 0.012482272148132325, | |
| 0.013817795753479004, | |
| 0.013764036178588868, | |
| 0.012948192596435548, | |
| 0.012761153221130372, | |
| 0.012851552963256836, | |
| 0.012745633125305175, | |
| 0.012795232772827148, | |
| 0.012386272430419922, | |
| 0.012212671279907227, | |
| 0.012087870597839355, | |
| 0.012073951721191406, | |
| 0.012073631286621095, | |
| 0.012076670646667481, | |
| 0.012083390235900878, | |
| 0.01219315242767334, | |
| 0.012103711128234863 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 79.57857444730615 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |