IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
c1bd3ef
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.3.0+cu121", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "fill-mask", | |
| "library": "transformers", | |
| "model": "google-bert/bert-base-uncased", | |
| "processor": "google-bert/bert-base-uncased", | |
| "device": "cuda", | |
| "device_ids": "0", | |
| "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", | |
| "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": true, | |
| "device_isolation_action": "error", | |
| "start_method": "spawn" | |
| }, | |
| "environment": { | |
| "cpu": " AMD EPYC 7R32", | |
| "cpu_count": 16, | |
| "cpu_ram_mb": 66697.29792, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.215-203.850.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": "0.2.0", | |
| "optimum_benchmark_commit": null, | |
| "transformers_version": "4.40.2", | |
| "transformers_commit": null, | |
| "accelerate_version": "0.30.1", | |
| "accelerate_commit": null, | |
| "diffusers_version": "0.27.2", | |
| "diffusers_commit": null, | |
| "optimum_version": null, | |
| "optimum_commit": null, | |
| "timm_version": "1.0.3", | |
| "timm_commit": null, | |
| "peft_version": null, | |
| "peft_commit": null | |
| } | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1078.550528, | |
| "max_global_vram": 3169.32096, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2520.776704, | |
| "max_allocated": 2211.86048 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 5, | |
| "total": 0.7972608146667481, | |
| "mean": 0.15945216293334963, | |
| "stdev": 0.2253987866061353, | |
| "p50": 0.04645273590087891, | |
| "p90": 0.38522143554687505, | |
| "p95": 0.4977350769042968, | |
| "p99": 0.5877459899902344, | |
| "values": [ | |
| 0.6102487182617188, | |
| 0.047680511474609374, | |
| 0.04645273590087891, | |
| 0.04643430328369141, | |
| 0.04644454574584961 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 62.71473409978114 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1078.550528, | |
| "max_global_vram": 3169.32096, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2520.776704, | |
| "max_allocated": 2211.86048 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 2, | |
| "total": 0.6579292297363282, | |
| "mean": 0.3289646148681641, | |
| "stdev": 0.2812841033935547, | |
| "p50": 0.3289646148681641, | |
| "p90": 0.5539918975830078, | |
| "p95": 0.5821203079223632, | |
| "p99": 0.6046230361938477, | |
| "values": [ | |
| 0.6102487182617188, | |
| 0.047680511474609374 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 12.159362494361408 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1078.550528, | |
| "max_global_vram": 3169.32096, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 2520.776704, | |
| "max_allocated": 2211.86048 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "count": 3, | |
| "total": 0.13933158493041992, | |
| "mean": 0.046443861643473305, | |
| "stdev": 7.54061629405213e-06, | |
| "p50": 0.04644454574584961, | |
| "p90": 0.046451097869873045, | |
| "p95": 0.04645191688537598, | |
| "p99": 0.046452572097778325, | |
| "values": [ | |
| 0.04645273590087891, | |
| 0.04643430328369141, | |
| 0.04644454574584961 | |
| ] | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 129.1882239693816 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |