IlyasMoutawwakil
HF staff
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
fb8d239
verified
| { | |
| "config": { | |
| "name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base", | |
| "backend": { | |
| "name": "pytorch", | |
| "version": "2.5.1+cu124", | |
| "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend", | |
| "task": "token-classification", | |
| "library": "transformers", | |
| "model_type": "deberta-v2", | |
| "model": "microsoft/deberta-v3-base", | |
| "processor": "microsoft/deberta-v3-base", | |
| "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": 66697.248768, | |
| "system": "Linux", | |
| "machine": "x86_64", | |
| "platform": "Linux-5.10.228-219.884.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.dev0", | |
| "optimum_benchmark_commit": null, | |
| "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": "0.14.0", | |
| "peft_commit": null | |
| }, | |
| "print_report": true, | |
| "log_report": true | |
| }, | |
| "report": { | |
| "overall": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1437.753344, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3703.54432 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.454719482421875, | |
| 0.18643455505371093, | |
| 0.08195481872558594, | |
| 0.08139263916015625, | |
| 0.08179814147949219 | |
| ], | |
| "count": 5, | |
| "total": 0.8862996368408204, | |
| "mean": 0.17725992736816407, | |
| "p50": 0.08195481872558594, | |
| "p90": 0.3474055114746094, | |
| "p95": 0.40106249694824214, | |
| "p99": 0.4439880853271484, | |
| "stdev": 0.1445368684665315, | |
| "stdev_": 81.53950563588596 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 56.41432978379976 | |
| }, | |
| "energy": { | |
| "unit": "kWh", | |
| "cpu": 1.2815378552776716e-05, | |
| "ram": 6.979563436253171e-06, | |
| "gpu": 2.5054464488000194e-05, | |
| "total": 4.484940647703008e-05 | |
| }, | |
| "efficiency": { | |
| "unit": "samples/kWh", | |
| "value": 222968.39101140763 | |
| } | |
| }, | |
| "warmup": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1437.753344, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3703.54432 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.454719482421875, | |
| 0.18643455505371093 | |
| ], | |
| "count": 2, | |
| "total": 0.641154037475586, | |
| "mean": 0.320577018737793, | |
| "p50": 0.320577018737793, | |
| "p90": 0.42789098968505856, | |
| "p95": 0.4413052360534668, | |
| "p99": 0.45203663314819337, | |
| "stdev": 0.13414246368408203, | |
| "stdev_": 41.84406736709973 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 12.477500775786078 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| }, | |
| "train": { | |
| "memory": { | |
| "unit": "MB", | |
| "max_ram": 1437.753344, | |
| "max_global_vram": 4604.821504, | |
| "max_process_vram": 0.0, | |
| "max_reserved": 3948.937216, | |
| "max_allocated": 3703.54432 | |
| }, | |
| "latency": { | |
| "unit": "s", | |
| "values": [ | |
| 0.08195481872558594, | |
| 0.08139263916015625, | |
| 0.08179814147949219 | |
| ], | |
| "count": 3, | |
| "total": 0.24514559936523436, | |
| "mean": 0.08171519978841145, | |
| "p50": 0.08179814147949219, | |
| "p90": 0.08192348327636718, | |
| "p95": 0.08193915100097657, | |
| "p99": 0.08195168518066406, | |
| "stdev": 0.00023688388018348514, | |
| "stdev_": 0.2898896175948396 | |
| }, | |
| "throughput": { | |
| "unit": "samples/s", | |
| "value": 73.42575206982359 | |
| }, | |
| "energy": null, | |
| "efficiency": null | |
| } | |
| } | |
| } |