IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_image-classification_google/vit-base-patch16-224/benchmark.json with huggingface_hub
59895eb
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_image-classification_google/vit-base-patch16-224", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+cu124", | |
| "_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": "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-5.10.224-212.876.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": "4.44.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.34.2", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.30.3", | |
| "diffusers_commit": null, | |
| "optimum_version": "1.22.0", | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": "0.13.0", | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1628.020736, | |
| "max_global_vram": 2618.81856, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 1956.642816, | |
| "max_allocated": 1755.291648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.32422503662109375, | |
| 0.03996979141235352, | |
| 0.0397127685546875, | |
| 0.039739391326904294, | |
| 0.04015411376953125 | |
| ], | |
| "count": 5, | |
| "total": 0.48380110168457036, | |
| "mean": 0.09676022033691407, | |
| "p50": 0.03996979141235352, | |
| "p90": 0.2105966674804688, | |
| "p95": 0.2674108520507812, | |
| "p99": 0.3128621997070312, | |
| "stdev": 0.11373252257923705, | |
| "stdev_": 117.54057833190778 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 103.34825577267722 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.1076797041075932e-05, | |
| "ram": 6.051252019832324e-06, | |
| "gpu": 2.0871405586042613e-05, | |
| "total": 3.7999454646950865e-05 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 263161.6714742093 | |
| } | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1628.020736, | |
| "max_global_vram": 2618.81856, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 1956.642816, | |
| "max_allocated": 1755.291648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.32422503662109375, | |
| 0.03996979141235352 | |
| ], | |
| "count": 2, | |
| "total": 0.36419482803344727, | |
| "mean": 0.18209741401672364, | |
| "p50": 0.18209741401672364, | |
| "p90": 0.2957995121002197, | |
| "p95": 0.3100122743606567, | |
| "p99": 0.32138248416900633, | |
| "stdev": 0.14212762260437012, | |
| "stdev_": 78.05032453196577 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 21.96626471385609 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1628.020736, | |
| "max_global_vram": 2618.81856, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 1956.642816, | |
| "max_allocated": 1755.291648 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.0397127685546875, | |
| 0.039739391326904294, | |
| 0.04015411376953125 | |
| ], | |
| "count": 3, | |
| "total": 0.11960627365112304, | |
| "mean": 0.03986875788370768, | |
| "p50": 0.039739391326904294, | |
| "p90": 0.04007116928100586, | |
| "p95": 0.040112641525268555, | |
| "p99": 0.04014581932067871, | |
| "stdev": 0.00020206959062122113, | |
| "stdev_": 0.506836935353325 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 150.49377804799613 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |