IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
b60ba15
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_type": "vit", | |
| "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", | |
| "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": 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": 16757.338112, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.5.0-1023-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.14", | |
| "optimum_benchmark_version": "0.3.1", | |
| "optimum_benchmark_commit": "e291e9b18cfb323457af60f15f2bb33803718668", | |
| "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": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2448.433152, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 5, | |
| "total": 7.937585912999964, | |
| "mean": 1.5875171825999927, | |
| "stdev": 0.16617012241064283, | |
| "p50": 1.5060381639999605, | |
| "p90": 1.7584871945999794, | |
| "p95": 1.838987625799973, | |
| "p99": 1.9033879707599681, | |
| "values": [ | |
| 1.9194880569999668, | |
| 1.4924629340000024, | |
| 1.5169859009999982, | |
| 1.502610857000036, | |
| 1.5060381639999605 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 6.299144418470022 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2448.433152, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 2, | |
| "total": 3.4119509909999692, | |
| "mean": 1.7059754954999846, | |
| "stdev": 0.2135125614999822, | |
| "p50": 1.7059754954999846, | |
| "p90": 1.8767855446999704, | |
| "p95": 1.8981368008499686, | |
| "p99": 1.9152178057699671, | |
| "values": [ | |
| 1.9194880569999668, | |
| 1.4924629340000024 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 2.3446995637107237 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2448.433152, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 3, | |
| "total": 4.525634921999995, | |
| "mean": 1.5085449739999983, | |
| "stdev": 0.006130445594594729, | |
| "p50": 1.5060381639999605, | |
| "p90": 1.5147963535999907, | |
| "p95": 1.5158911272999944, | |
| "p99": 1.5167669462599975, | |
| "values": [ | |
| 1.5169859009999982, | |
| 1.502610857000036, | |
| 1.5060381639999605 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 3.9773424746433887 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |