IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
fb24227
verified
{ | |
"config": { | |
"name": "cpu_training_transformers_image-classification_google/vit-base-patch16-224", | |
"backend": { | |
"name": "pytorch", | |
"version": "2.3.1+cpu", | |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
"task": "image-classification", | |
"library": "transformers", | |
"model": "google/vit-base-patch16-224", | |
"processor": "google/vit-base-patch16-224", | |
"device": "cpu", | |
"device_ids": null, | |
"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": "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", | |
"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": false | |
}, | |
"launcher": { | |
"name": "process", | |
"_target_": "optimum_benchmark.launchers.process.launcher.ProcessLauncher", | |
"device_isolation": false, | |
"device_isolation_action": "error", | |
"numactl": false, | |
"numactl_kwargs": {}, | |
"start_method": "spawn" | |
}, | |
"environment": { | |
"cpu": " AMD EPYC 7763 64-Core Processor", | |
"cpu_count": 4, | |
"cpu_ram_mb": 16757.342208, | |
"system": "Linux", | |
"machine": "x86_64", | |
"platform": "Linux-6.5.0-1022-azure-x86_64-with-glibc2.35", | |
"processor": "x86_64", | |
"python_version": "3.10.14", | |
"optimum_benchmark_version": "0.2.1", | |
"optimum_benchmark_commit": "c594845efb520077430f4fe3f536bc1756e2b290", | |
"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": { | |
"overall": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2449.534976, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 5, | |
"total": 7.723274430999993, | |
"mean": 1.5446548861999987, | |
"stdev": 0.048456103768485866, | |
"p50": 1.52691328100002, | |
"p90": 1.595507182199981, | |
"p95": 1.6181010845999708, | |
"p99": 1.6361762065199628, | |
"values": [ | |
1.6406949869999607, | |
1.517958904000011, | |
1.52691328100002, | |
1.527725475000011, | |
1.50998178399999 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 6.473938022881586 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"warmup": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2449.534976, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 2, | |
"total": 3.1586538909999717, | |
"mean": 1.5793269454999859, | |
"stdev": 0.06136804149997488, | |
"p50": 1.5793269454999859, | |
"p90": 1.6284213786999657, | |
"p95": 1.6345581828499633, | |
"p99": 1.6394676261699612, | |
"values": [ | |
1.6406949869999607, | |
1.517958904000011 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 2.5327244693679773 | |
}, | |
"energy": null, | |
"efficiency": null | |
}, | |
"train": { | |
"memory": { | |
"unit": "MB", | |
"max_ram": 2449.534976, | |
"max_global_vram": null, | |
"max_process_vram": null, | |
"max_reserved": null, | |
"max_allocated": null | |
}, | |
"latency": { | |
"unit": "s", | |
"count": 3, | |
"total": 4.564620540000021, | |
"mean": 1.521540180000007, | |
"stdev": 0.008179743408498526, | |
"p50": 1.52691328100002, | |
"p90": 1.527563036200013, | |
"p95": 1.527644255600012, | |
"p99": 1.5277092311200113, | |
"values": [ | |
1.52691328100002, | |
1.527725475000011, | |
1.50998178399999 | |
] | |
}, | |
"throughput": { | |
"unit": "samples/s", | |
"value": 3.943372694896544 | |
}, | |
"energy": null, | |
"efficiency": null | |
} | |
} | |
} |