IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
3786d67
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+cu124", | |
| "_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": {}, | |
| "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": "training", | |
| "_target_": "optimum_benchmark.scenarios.training.scenario.TrainingScenario", | |
| "max_steps": 5, | |
| "warmup_steps": 2, | |
| "dataset_shapes": { | |
| "dataset_size": 500, | |
| "sequence_length": 16, | |
| "num_choices": 1 | |
| }, | |
| "training_arguments": { | |
| "per_device_train_batch_size": 2, | |
| "gradient_accumulation_steps": 1, | |
| "output_dir": "./trainer_output", | |
| "evaluation_strategy": "no", | |
| "eval_strategy": "no", | |
| "save_strategy": "no", | |
| "do_train": true, | |
| "use_cpu": false, | |
| "max_steps": 5, | |
| "do_eval": false, | |
| "do_predict": false, | |
| "report_to": "none", | |
| "skip_memory_metrics": true, | |
| "ddp_find_unused_parameters": false | |
| }, | |
| "latency": true, | |
| "memory": true, | |
| "energy": true | |
| }, | |
| "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 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.261056, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.225-213.878.amzn2.x86_64-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.12", | |
| "gpu": [ | |
| "NVIDIA A10G" | |
| ], | |
| "gpu_count": 1, | |
| "gpu_vram_mb": 24146608128, | |
| "optimum_benchmark_version": "0.5.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.45.1", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": "0.13.0", | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1385.291776, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3702.95552 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.4160245361328125, | |
| 0.0867583999633789, | |
| 0.08386252593994141, | |
| 0.0839362564086914, | |
| 0.08377855682373046 | |
| ], | |
| "count": 5, | |
| "total": 0.7543602752685546, | |
| "mean": 0.15087205505371093, | |
| "p50": 0.0839362564086914, | |
| "p90": 0.2843180816650391, | |
| "p95": 0.3501713088989257, | |
| "p99": 0.4028538906860351, | |
| "stdev": 0.13258100514664797, | |
| "stdev_": 87.8764494189787 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 66.28132689277659 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.309227967638754e-05, | |
| "ram": 7.15558894065163e-06, | |
| "gpu": 2.4463352904000035e-05, | |
| "total": 4.47112215210392e-05 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 223657.49938847957 | |
| } | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1385.291776, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3702.95552 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.4160245361328125, | |
| 0.0867583999633789 | |
| ], | |
| "count": 2, | |
| "total": 0.5027829360961914, | |
| "mean": 0.2513914680480957, | |
| "p50": 0.2513914680480957, | |
| "p90": 0.38309792251586916, | |
| "p95": 0.3995612293243408, | |
| "p99": 0.41273187477111817, | |
| "stdev": 0.16463306808471678, | |
| "stdev_": 65.48872535849924 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 15.911438964327653 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1385.291776, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3702.95552 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.08386252593994141, | |
| 0.0839362564086914, | |
| 0.08377855682373046 | |
| ], | |
| "count": 3, | |
| "total": 0.2515773391723633, | |
| "mean": 0.08385911305745443, | |
| "p50": 0.08386252593994141, | |
| "p90": 0.0839215103149414, | |
| "p95": 0.0839288833618164, | |
| "p99": 0.0839347817993164, | |
| "stdev": 6.442580021164144e-05, | |
| "stdev_": 0.07682623612713547 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 71.54857452271428 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |