IlyasMoutawwakil's picture
Upload cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub
eb772a8 verified
raw
history blame
7.92 kB
{
"config": {
"name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
"backend": {
"name": "pytorch",
"version": "2.3.1+rocm5.7",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-classification",
"library": "transformers",
"model_type": "roberta",
"model": "FacebookAI/roberta-base",
"processor": "FacebookAI/roberta-base",
"device": "cuda",
"device_ids": "5",
"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": true,
"device_isolation_action": "warn",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082014.490624,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-122-generic-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.12",
"gpu": [
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]",
"Advanced Micro Devices, Inc. [AMD/ATI]"
],
"gpu_count": 8,
"gpu_vram_mb": 549621596160,
"optimum_benchmark_version": "0.5.0.dev0",
"optimum_benchmark_commit": null,
"transformers_version": "4.46.3",
"transformers_commit": null,
"accelerate_version": "1.1.1",
"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": "0.13.2",
"peft_commit": null
},
"print_report": true,
"log_report": true
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1332.617216,
"max_global_vram": 68702.69952,
"max_process_vram": 295215.57504,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.5911963500976563,
0.04413899993896484,
0.04334364318847656,
0.04334060287475586,
0.04339020538330078
],
"count": 5,
"total": 0.7654098014831543,
"mean": 0.15308196029663085,
"p50": 0.04339020538330078,
"p90": 0.3723734100341798,
"p95": 0.4817848800659179,
"p99": 0.5693140560913086,
"stdev": 0.2190574043618286,
"stdev_": 143.09811811748128
},
"throughput": {
"unit": "samples/s",
"value": 65.3244835682973
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1332.617216,
"max_global_vram": 68702.69952,
"max_process_vram": 295215.57504,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.5911963500976563,
0.04413899993896484
],
"count": 2,
"total": 0.6353353500366211,
"mean": 0.31766767501831056,
"p50": 0.31766767501831056,
"p90": 0.5364906150817871,
"p95": 0.5638434825897216,
"p99": 0.5857257765960693,
"stdev": 0.2735286750793457,
"stdev_": 86.10529071413367
},
"throughput": {
"unit": "samples/s",
"value": 12.591775350669336
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1332.617216,
"max_global_vram": 68702.69952,
"max_process_vram": 295215.57504,
"max_reserved": 2707.423232,
"max_allocated": 2497.900032
},
"latency": {
"unit": "s",
"values": [
0.04334364318847656,
0.04334060287475586,
0.04339020538330078
],
"count": 3,
"total": 0.13007445144653318,
"mean": 0.043358150482177726,
"p50": 0.04334364318847656,
"p90": 0.04338089294433594,
"p95": 0.04338554916381836,
"p99": 0.0433892741394043,
"stdev": 2.2700196642119732e-05,
"stdev_": 0.0523550852369743
},
"throughput": {
"unit": "samples/s",
"value": 138.38228645076285
},
"energy": null,
"efficiency": null
}
}
}