File size: 7,053 Bytes
8fabb67 6ecce72 8fabb67 98d8eb3 3a03ec5 0ad3a0c 8fabb67 0ad3a0c 8fabb67 d0468a0 61539b0 8fabb67 5bce7ee f492e41 8fabb67 2c4f4c3 8fabb67 2dc52a0 8fabb67 6f1feb5 e9df601 2c4f4c3 fc810bb 8fabb67 9fcc4b0 8fabb67 96ad6de 8fabb67 fc810bb 8fabb67 d750ecd 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 2c4f4c3 8fabb67 |
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 |
{
"config": {
"name": "cpu_training_transformers_text-generation_openai-community/gpt2",
"backend": {
"name": "pytorch",
"version": "2.4.1+cpu",
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
"task": "text-generation",
"library": "transformers",
"model_type": "gpt2",
"model": "openai-community/gpt2",
"processor": "openai-community/gpt2",
"device": "cpu",
"device_ids": null,
"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": false,
"device_isolation_action": "error",
"numactl": false,
"numactl_kwargs": {},
"start_method": "spawn"
},
"environment": {
"cpu": " AMD EPYC 7763 64-Core Processor",
"cpu_count": 4,
"cpu_ram_mb": 16757.342208,
"system": "Linux",
"machine": "x86_64",
"platform": "Linux-6.5.0-1025-azure-x86_64-with-glibc2.35",
"processor": "x86_64",
"python_version": "3.10.14",
"optimum_benchmark_version": "0.4.0",
"optimum_benchmark_commit": "a38b9ad1f603bed36d9a51f418af821526aa4776",
"transformers_version": "4.44.2",
"transformers_commit": null,
"accelerate_version": "0.34.0",
"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": 2848.391168,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 5,
"total": 3.247781214999975,
"mean": 0.649556242999995,
"stdev": 0.040931117033886855,
"p50": 0.631615174999979,
"p90": 0.6941273093999826,
"p95": 0.7123042711999801,
"p99": 0.7268458406399781,
"values": [
0.7304812329999777,
0.6237756410000088,
0.6223127420000196,
0.6395964239999898,
0.631615174999979
]
},
"throughput": {
"unit": "samples/s",
"value": 15.395125684289784
},
"energy": null,
"efficiency": null
},
"warmup": {
"memory": {
"unit": "MB",
"max_ram": 2848.391168,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 2,
"total": 1.3542568739999865,
"mean": 0.6771284369999933,
"stdev": 0.05335279599998444,
"p50": 0.6771284369999933,
"p90": 0.7198106737999808,
"p95": 0.7251459533999792,
"p99": 0.729414177079978,
"values": [
0.7304812329999777,
0.6237756410000088
]
},
"throughput": {
"unit": "samples/s",
"value": 5.907298795073408
},
"energy": null,
"efficiency": null
},
"train": {
"memory": {
"unit": "MB",
"max_ram": 2848.391168,
"max_global_vram": null,
"max_process_vram": null,
"max_reserved": null,
"max_allocated": null
},
"latency": {
"unit": "s",
"count": 3,
"total": 1.8935243409999885,
"mean": 0.6311747803333295,
"stdev": 0.0070629019751484385,
"p50": 0.631615174999979,
"p90": 0.6380001741999877,
"p95": 0.6387982990999888,
"p99": 0.6394367990199896,
"values": [
0.6223127420000196,
0.6395964239999898,
0.631615174999979
]
},
"throughput": {
"unit": "samples/s",
"value": 9.506083238673353
},
"energy": null,
"efficiency": null
}
}
} |