IlyasMoutawwakil's picture
Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub
e2bedd6 verified
raw
history blame
7.1 kB
{
"config": {
"name": "cuda_training_transformers_token-classification_microsoft/deberta-v3-base",
"backend": {
"name": "pytorch",
"version": "2.2.2",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "token-classification",
"model": "microsoft/deberta-v3-base",
"library": "transformers",
"device": "cuda",
"device_ids": "0",
"seed": 42,
"inter_op_num_threads": null,
"intra_op_num_threads": null,
"hub_kwargs": {
"revision": "main",
"force_download": false,
"local_files_only": false,
"trust_remote_code": false
},
"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": "3.10.14",
"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": "0.9.16",
"timm_commit": null,
"peft_version": null,
"peft_commit": null
}
},
"report": {
"overall": {
"memory": {
"unit": "MB",
"max_ram": 1140.908032,
"max_global_vram": 4597.481472,
"max_process_vram": 0.0,
"max_reserved": 3948.937216,
"max_allocated": 3702.95552
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.9775595779418945,
"mean": 0.1955119155883789,
"stdev": 0.22752543436436523,
"p50": 0.08148684692382813,
"p90": 0.423448568725586,
"p95": 0.5370050460815429,
"p99": 0.6278502279663085,
"values": [
0.6505615234375,
0.08277913665771484,
0.08129126739501953,
0.08148684692382813,
0.08144080352783203
]
},
"throughput": {
"unit": "samples/s",
"value": 51.147777719356526
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1140.908032,
"max_global_vram": 4597.481472,
"max_process_vram": 0.0,
"max_reserved": 3948.937216,
"max_allocated": 3702.95552
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.7333406600952148,
"mean": 0.3666703300476074,
"stdev": 0.28389119338989255,
"p50": 0.3666703300476074,
"p90": 0.5937832847595215,
"p95": 0.6221724040985107,
"p99": 0.6448836995697022,
"values": [
0.6505615234375,
0.08277913665771484
]
},
"throughput": {
"unit": "samples/s",
"value": 10.908981917027898
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1140.908032,
"max_global_vram": 4597.481472,
"max_process_vram": 0.0,
"max_reserved": 3948.937216,
"max_allocated": 3702.95552
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.24421891784667968,
"mean": 0.08140630594889323,
"stdev": 8.3488123852946e-05,
"p50": 0.08144080352783203,
"p90": 0.0814776382446289,
"p95": 0.08148224258422852,
"p99": 0.08148592605590821,
"values": [
0.08129126739501953,
0.08148684692382813,
0.08144080352783203
]
},
"throughput": {
"unit": "samples/s",
"value": 73.70436393179163
},
"energy": null,
"efficiency": null
}
}
}