IlyasMoutawwakil
HF staff
Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
18ad062
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": "dd02f26cb819965cbf86e16d9ce013cddc3b86af", | |
| "transformers_version": "4.42.3", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.31.0", | |
| "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": 1028.022272, | |
| "max_global_vram": 1122.852864, | |
| "max_process_vram": 268783.734784, | |
| "max_reserved": 773.849088, | |
| "max_allocated": 745.087488 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 68, | |
| "total": 1.0107849054336548, | |
| "mean": 0.014864483903436098, | |
| "stdev": 0.0003872017533225853, | |
| "p50": 0.01473390531539917, | |
| "p90": 0.015467776298522948, | |
| "p95": 0.015712207651138305, | |
| "p99": 0.016107189245224, | |
| "values": [ | |
| 0.014805424690246581, | |
| 0.015896464347839357, | |
| 0.015785584449768065, | |
| 0.01577582359313965, | |
| 0.015550864219665528, | |
| 0.015594063758850097, | |
| 0.015474385261535644, | |
| 0.015342864036560058, | |
| 0.016535024642944336, | |
| 0.015099505424499511, | |
| 0.014473265647888183, | |
| 0.014701105117797852, | |
| 0.014919025421142578, | |
| 0.014784145355224609, | |
| 0.014535184860229491, | |
| 0.014651185035705566, | |
| 0.014759345054626465, | |
| 0.015059664726257324, | |
| 0.014775984764099121, | |
| 0.0149495849609375, | |
| 0.014709585189819336, | |
| 0.014911825180053712, | |
| 0.014657905578613281, | |
| 0.014816946029663085, | |
| 0.014672466278076172, | |
| 0.014790064811706543, | |
| 0.014650384902954101, | |
| 0.014638705253601074, | |
| 0.014822864532470703, | |
| 0.014621105194091797, | |
| 0.014539345741271973, | |
| 0.014598384857177734, | |
| 0.014576945304870605, | |
| 0.014799345016479492, | |
| 0.014570706367492676, | |
| 0.014556144714355469, | |
| 0.014572944641113281, | |
| 0.015010544776916504, | |
| 0.014599505424499512, | |
| 0.01461982536315918, | |
| 0.014587825775146484, | |
| 0.014562225341796875, | |
| 0.014602544784545899, | |
| 0.01496766471862793, | |
| 0.014579665184020997, | |
| 0.014552946090698243, | |
| 0.014530705451965333, | |
| 0.014574225425720216, | |
| 0.01454494571685791, | |
| 0.014970065116882324, | |
| 0.01460030460357666, | |
| 0.014638065338134765, | |
| 0.01464494514465332, | |
| 0.01465806484222412, | |
| 0.015000784873962402, | |
| 0.014724465370178222, | |
| 0.014936305046081544, | |
| 0.015199504852294921, | |
| 0.015066385269165039, | |
| 0.015464943885803223, | |
| 0.01487534523010254, | |
| 0.014795024871826172, | |
| 0.014756464958190918, | |
| 0.01494190502166748, | |
| 0.014643025398254395, | |
| 0.014743345260620117, | |
| 0.014703506469726563, | |
| 0.014715664863586426 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 67.27445140351213 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |