File size: 7,685 Bytes
3ee2845 1c896c4 3ee2845 cfb5812 817363a 3ee2845 ff1e4ed 3ee2845 817363a 3ee2845 2f09252 e166fc9 3ee2845 85414e9 3ee2845 7cd2fdd 3ee2845 7cd2fdd 3ee2845 b4c79c2 3ee2845 b4c79c2 ef0507d 7cd2fdd 3ee2845 9255c99 3ee2845 4f80141 3ee2845 7cd2fdd 3ee2845 e39089c 3ee2845 ff1e4ed 1c896c4 3611d96 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 ff1e4ed 1c896c4 3611d96 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 ff1e4ed 1c896c4 3611d96 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 ff1e4ed 3ee2845 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 |
{
"config": {
"name": "cuda_training_transformers_fill-mask_google-bert/bert-base-uncased",
"backend": {
"name": "pytorch",
"version": "2.4.0+rocm6.1",
"_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": "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": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 128,
"cpu_ram_mb": 1082015.256576,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-5.15.0-101-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": "0.4.0",
"optimum_benchmark_commit": null,
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.33.0",
"accelerate_commit": null,
"diffusers_version": "0.30.2",
"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": 1631.760384,
"max_global_vram": 12.079104,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 5,
"total": 0.7475482940673829,
"mean": 0.14950965881347658,
"stdev": 0.20974280056173686,
"p50": 0.04470623779296875,
"p90": 0.35944556121826177,
"p95": 0.4642202171325683,
"p99": 0.5480399418640136,
"values": [
0.568994873046875,
0.045121593475341795,
0.04470623779296875,
0.04445151519775391,
0.04427407455444336
]
},
"throughput": {
"unit": "samples/s",
"value": 66.88531081778252
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 1631.760384,
"max_global_vram": 12.079104,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 2,
"total": 0.6141164665222169,
"mean": 0.3070582332611084,
"stdev": 0.2619366397857666,
"p50": 0.3070582332611084,
"p90": 0.5166075450897217,
"p95": 0.5428012090682983,
"p99": 0.5637561402511597,
"values": [
0.568994873046875,
0.045121593475341795
]
},
"throughput": {
"unit": "samples/s",
"value": 13.026844965262928
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 1631.760384,
"max_global_vram": 12.079104,
"max_process_vram": 0.0,
"max_reserved": 2497.708032,
"max_allocated": 2195.345408
},
"latency": {
"unit": "s",
"count": 3,
"total": 0.13343182754516603,
"mean": 0.044477275848388675,
"stdev": 0.00017736774326059085,
"p50": 0.04445151519775391,
"p90": 0.044655293273925784,
"p95": 0.04468076553344726,
"p99": 0.04470114334106445,
"values": [
0.04470623779296875,
0.04445151519775391,
0.04427407455444336
]
},
"throughput": {
"unit": "samples/s",
"value": 134.90034822394296
},
"energy": null,
"efficiency": null
}
}
} |