IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
ae64fe2
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_type": "deberta-v2", | |
| "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": "0.3.1", | |
| "optimum_benchmark_commit": "41836e67badc33c5e7a42b3b53f44695ff51963e", | |
| "transformers_version": "4.42.4", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.32.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.29.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.7", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "forward": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1033.658368, | |
| "max_global_vram": 1122.848768, | |
| "max_process_vram": 293398.818816, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 70, | |
| "total": 1.006380055427551, | |
| "mean": 0.014376857934679304, | |
| "stdev": 0.0008294281933741459, | |
| "p50": 0.014393622875213624, | |
| "p90": 0.01557171506881714, | |
| "p95": 0.015942346239089966, | |
| "p99": 0.01640102788925171, | |
| "values": [ | |
| 0.014726181983947755, | |
| 0.015571619033813476, | |
| 0.015932578086853028, | |
| 0.01595033836364746, | |
| 0.015961216926574706, | |
| 0.015822338104248046, | |
| 0.015572579383850097, | |
| 0.014333864212036133, | |
| 0.013858345985412598, | |
| 0.013848105430603027, | |
| 0.014806181907653808, | |
| 0.015233380317687988, | |
| 0.01625753593444824, | |
| 0.016720413208007812, | |
| 0.01490218162536621, | |
| 0.014744582176208497, | |
| 0.014804262161254883, | |
| 0.014814021110534668, | |
| 0.014931781768798828, | |
| 0.014804902076721192, | |
| 0.014838501930236817, | |
| 0.014550823211669922, | |
| 0.013690826416015624, | |
| 0.01485786247253418, | |
| 0.014676261901855468, | |
| 0.014025864601135253, | |
| 0.013717705726623536, | |
| 0.013598506927490234, | |
| 0.013350987434387207, | |
| 0.013795466423034667, | |
| 0.0136868257522583, | |
| 0.013413067817687988, | |
| 0.013630187034606934, | |
| 0.013790986061096192, | |
| 0.01347914695739746, | |
| 0.014205864906311035, | |
| 0.014375622749328614, | |
| 0.013589707374572754, | |
| 0.013823144912719727, | |
| 0.014368424415588379, | |
| 0.014705222129821777, | |
| 0.015002981185913086, | |
| 0.014698022842407227, | |
| 0.014737703323364259, | |
| 0.015052741050720214, | |
| 0.014696582794189453, | |
| 0.014690502166748047, | |
| 0.014940740585327149, | |
| 0.013650346755981445, | |
| 0.01424506378173828, | |
| 0.015095939636230469, | |
| 0.013618826866149902, | |
| 0.014437542915344239, | |
| 0.015079461097717285, | |
| 0.014606183052062988, | |
| 0.01464874267578125, | |
| 0.014193544387817383, | |
| 0.013841706275939942, | |
| 0.014411623001098633, | |
| 0.013666186332702637, | |
| 0.013726985931396485, | |
| 0.013142189025878907, | |
| 0.013609705924987793, | |
| 0.013277868270874023, | |
| 0.01312618923187256, | |
| 0.0131973876953125, | |
| 0.013163147926330566, | |
| 0.013174827575683595, | |
| 0.013645386695861817, | |
| 0.013234509468078613 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 69.5562274137688 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |