IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
675f0c1
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": "6422f8f56820540ec4876445962a50a44754b92e", | |
| "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": 1023.209472, | |
| "max_global_vram": 1122.87744, | |
| "max_process_vram": 292419.162112, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 71, | |
| "total": 1.0097987728118896, | |
| "mean": 0.014222517926928023, | |
| "stdev": 0.0007848184291063737, | |
| "p50": 0.014199787139892579, | |
| "p90": 0.01499210262298584, | |
| "p95": 0.015157943248748779, | |
| "p99": 0.016101283836364742, | |
| "values": [ | |
| 0.013763307571411133, | |
| 0.014952424049377442, | |
| 0.015461702346801758, | |
| 0.015509061813354492, | |
| 0.015211302757263184, | |
| 0.014722503662109376, | |
| 0.014478985786437987, | |
| 0.01427242660522461, | |
| 0.014032587051391602, | |
| 0.014199787139892579, | |
| 0.013807309150695802, | |
| 0.01390298843383789, | |
| 0.013427470207214355, | |
| 0.01384954833984375, | |
| 0.013862347602844239, | |
| 0.017483135223388672, | |
| 0.013543789863586425, | |
| 0.013497870445251465, | |
| 0.01320298957824707, | |
| 0.013553388595581055, | |
| 0.013180910110473633, | |
| 0.013606669425964356, | |
| 0.013218510627746581, | |
| 0.01348682975769043, | |
| 0.013120750427246093, | |
| 0.01348346996307373, | |
| 0.013184590339660645, | |
| 0.013474988937377929, | |
| 0.013209071159362793, | |
| 0.013491469383239746, | |
| 0.013140271186828614, | |
| 0.014282827377319335, | |
| 0.015104583740234375, | |
| 0.014904264450073243, | |
| 0.014950663566589355, | |
| 0.014744424819946289, | |
| 0.015012582778930665, | |
| 0.01476442527770996, | |
| 0.014973063468933106, | |
| 0.014768745422363281, | |
| 0.01499210262298584, | |
| 0.014650665283203124, | |
| 0.014887784004211426, | |
| 0.014720265388488769, | |
| 0.014942503929138184, | |
| 0.014685704231262206, | |
| 0.014897064208984375, | |
| 0.0147033052444458, | |
| 0.014907943725585937, | |
| 0.014725384712219238, | |
| 0.01496506404876709, | |
| 0.014745545387268067, | |
| 0.014935144424438477, | |
| 0.014771144866943359, | |
| 0.01372474765777588, | |
| 0.013304269790649415, | |
| 0.013626508712768555, | |
| 0.014261385917663575, | |
| 0.01501594352722168, | |
| 0.014309386253356933, | |
| 0.014466506004333496, | |
| 0.014193865776062011, | |
| 0.014164907455444336, | |
| 0.013646029472351074, | |
| 0.013434829711914063, | |
| 0.013601868629455567, | |
| 0.013538028717041016, | |
| 0.013358830451965332, | |
| 0.013836427688598633, | |
| 0.013449708938598632, | |
| 0.013497867584228516 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 70.3110381113785 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |