IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
caaaa54
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", | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "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": "0.2.1", | |
| "optimum_benchmark_commit": "347e13ca9f7f904f55669603cfb9f0b6c7e8672c", | |
| "transformers_version": "4.41.1", | |
| "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": 1027.145728, | |
| "max_global_vram": 2103.222272, | |
| "max_process_vram": 248110.108672, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 73, | |
| "total": 1.0082166709899902, | |
| "mean": 0.013811187273835483, | |
| "stdev": 0.000726266533702998, | |
| "p50": 0.013699226379394532, | |
| "p90": 0.014690171813964844, | |
| "p95": 0.01480133991241455, | |
| "p99": 0.01564074661254883, | |
| "values": [ | |
| 0.014002266883850098, | |
| 0.014975869178771972, | |
| 0.014791708946228027, | |
| 0.014942428588867188, | |
| 0.014267547607421875, | |
| 0.014693947792053222, | |
| 0.014613788604736328, | |
| 0.013699226379394532, | |
| 0.014227388381958007, | |
| 0.013823387145996093, | |
| 0.01403378677368164, | |
| 0.014273628234863282, | |
| 0.014263227462768554, | |
| 0.01735043144226074, | |
| 0.013865467071533202, | |
| 0.01337618637084961, | |
| 0.013642427444458007, | |
| 0.013349945068359376, | |
| 0.01353234577178955, | |
| 0.013086105346679687, | |
| 0.013451226234436035, | |
| 0.013416345596313477, | |
| 0.013434266090393067, | |
| 0.013453466415405273, | |
| 0.014650108337402344, | |
| 0.01389346694946289, | |
| 0.013848187446594239, | |
| 0.013602106094360352, | |
| 0.014038106918334962, | |
| 0.013146745681762695, | |
| 0.012907224655151367, | |
| 0.01392514705657959, | |
| 0.014095227241516113, | |
| 0.014496667861938477, | |
| 0.014800827980041504, | |
| 0.014579548835754394, | |
| 0.014675067901611329, | |
| 0.0146185884475708, | |
| 0.014670268058776855, | |
| 0.013785627365112305, | |
| 0.01404466724395752, | |
| 0.01381154727935791, | |
| 0.013808827400207519, | |
| 0.01316130542755127, | |
| 0.013231546401977538, | |
| 0.012996025085449218, | |
| 0.013317625999450683, | |
| 0.013232026100158691, | |
| 0.014802107810974121, | |
| 0.014262428283691406, | |
| 0.014729308128356934, | |
| 0.013804346084594727, | |
| 0.014038107872009277, | |
| 0.013625946044921875, | |
| 0.013758907318115235, | |
| 0.013420825958251953, | |
| 0.013226264953613282, | |
| 0.013027545928955078, | |
| 0.013315864562988281, | |
| 0.013021465301513671, | |
| 0.013030585289001464, | |
| 0.013556026458740234, | |
| 0.013006746292114258, | |
| 0.013358745574951172, | |
| 0.013021305084228515, | |
| 0.013002744674682617, | |
| 0.013051384925842286, | |
| 0.012979705810546876, | |
| 0.013578585624694824, | |
| 0.013036664962768554, | |
| 0.012989303588867188, | |
| 0.013086265563964843, | |
| 0.013582586288452148 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 72.40507135070449 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |