cpu
/
cpu_training_transformers_fill-mask_hf-internal-testing
/tiny-random-BertModel
/benchmark.json
IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel/benchmark.json with huggingface_hub
eac61dc
verified
| { | |
| "config": { | |
| "name": "cpu_training_transformers_fill-mask_hf-internal-testing/tiny-random-BertModel", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.5.1+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "fill-mask", | |
| "library": "transformers", | |
| "model_type": "bert", | |
| "model": "hf-internal-testing/tiny-random-BertModel", | |
| "processor": "hf-internal-testing/tiny-random-BertModel", | |
| "device": "cpu", | |
| "device_ids": null, | |
| "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": false, | |
| "device_isolation_action": null, | |
| "numactl": false, | |
| "numactl_kwargs": {}, | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7763 64-Core Processor", | |
| "cpu_count": 4, | |
| "cpu_ram_mb": 16766.779392, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.8.0-1017-azure-x86_64-with-glibc2.39", | |
| "processor": "x86_64", | |
| "python_version": "3.10.15", | |
| "optimum_benchmark_version": "0.5.0.dev0", | |
| "optimum_benchmark_commit": "f12f642abaf558e58516daaa40124ad343ac2723", | |
| "transformers_version": "4.47.0", | |
| "transformers_commit": null, | |
| "accelerate_version": "1.2.0", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.31.0", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.12", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 477.229056, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.016068804999974873, | |
| 0.012261956000003238, | |
| 0.012095496000000594, | |
| 0.012231077999985018, | |
| 0.012295668999996678 | |
| ], | |
| "count": 5, | |
| "total": 0.0649530039999604, | |
| "mean": 0.012990600799992081, | |
| "p50": 0.012261956000003238, | |
| "p90": 0.014559550599983595, | |
| "p95": 0.015314177799979234, | |
| "p99": 0.015917879559975746, | |
| "stdev": 0.001540602611622199, | |
| "stdev_": 11.85936382267353 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 769.787337319002 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 8.618595299999756e-06, | |
| "ram": 3.599112277094685e-07, | |
| "gpu": 0, | |
| "total": 8.978506527709224e-06 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 1113770.9784069622 | |
| } | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 477.229056, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.016068804999974873, | |
| 0.012261956000003238 | |
| ], | |
| "count": 2, | |
| "total": 0.02833076099997811, | |
| "mean": 0.014165380499989055, | |
| "p50": 0.014165380499989055, | |
| "p90": 0.01568812009997771, | |
| "p95": 0.01587846254997629, | |
| "p99": 0.016030736509975156, | |
| "stdev": 0.0019034244999858174, | |
| "stdev_": 13.437157582793402 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 282.37857782945474 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 477.229056, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.012095496000000594, | |
| 0.012231077999985018, | |
| 0.012295668999996678 | |
| ], | |
| "count": 3, | |
| "total": 0.03662224299998229, | |
| "mean": 0.01220741433332743, | |
| "p50": 0.012231077999985018, | |
| "p90": 0.012282750799994347, | |
| "p95": 0.012289209899995513, | |
| "p99": 0.012294377179996445, | |
| "stdev": 8.341576318506067e-05, | |
| "stdev_": 0.6833204879212423 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 491.50457551190146 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |