IlyasMoutawwakil
HF staff
Upload cpu_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
1525634
verified
| { | |
| "config": { | |
| "name": "cpu_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.4.1+cpu", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "fill-mask", | |
| "library": "transformers", | |
| "model_type": "bert", | |
| "model": "google-bert/bert-base-uncased", | |
| "processor": "google-bert/bert-base-uncased", | |
| "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": false | |
| }, | |
| "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": 16766.7712, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-6.8.0-1014-azure-x86_64-with-glibc2.35", | |
| "processor": "x86_64", | |
| "python_version": "3.10.15", | |
| "optimum_benchmark_version": "0.4.0", | |
| "optimum_benchmark_commit": "74ced8402064e977675db1260acc02c86f436230", | |
| "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": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.9", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2498.732032, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 5, | |
| "total": 2.953477924999987, | |
| "mean": 0.5906955849999974, | |
| "stdev": 0.04076503042318478, | |
| "p50": 0.5742428920000009, | |
| "p90": 0.6347243565999975, | |
| "p95": 0.6530072377999943, | |
| "p99": 0.6676335427599918, | |
| "values": [ | |
| 0.6712901189999911, | |
| 0.5742428920000009, | |
| 0.5626058439999895, | |
| 0.579875713000007, | |
| 0.5654633569999987 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 16.92919374029187 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2498.732032, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 2, | |
| "total": 1.245533010999992, | |
| "mean": 0.622766505499996, | |
| "stdev": 0.04852361349999512, | |
| "p50": 0.622766505499996, | |
| "p90": 0.6615853962999921, | |
| "p95": 0.6664377576499916, | |
| "p99": 0.6703196467299912, | |
| "values": [ | |
| 0.6712901189999911, | |
| 0.5742428920000009 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 6.422953008348689 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 2498.732032, | |
| "max_global_vram": null, | |
| "max_process_vram": null, | |
| "max_reserved": null, | |
| "max_allocated": null | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 3, | |
| "total": 1.7079449139999952, | |
| "mean": 0.5693149713333318, | |
| "stdev": 0.007558143226524767, | |
| "p50": 0.5654633569999987, | |
| "p90": 0.5769932418000053, | |
| "p95": 0.5784344774000061, | |
| "p99": 0.5795874658800068, | |
| "values": [ | |
| 0.5626058439999895, | |
| 0.579875713000007, | |
| 0.5654633569999987 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 10.538981586849967 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |