IlyasMoutawwakil HF staff commited on
Commit
d0312a4
1 Parent(s): 85e515d

Upload cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json with huggingface_hub

Browse files
cpu_inference_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -6,19 +6,17 @@
6
  "version": "2.3.0+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
9
- "model": "FacebookAI/roberta-base",
10
  "library": "transformers",
 
 
11
  "device": "cpu",
12
  "device_ids": null,
13
  "seed": 42,
14
  "inter_op_num_threads": null,
15
  "intra_op_num_threads": null,
16
- "hub_kwargs": {
17
- "revision": "main",
18
- "force_download": false,
19
- "local_files_only": false,
20
- "trust_remote_code": false
21
- },
22
  "no_weights": true,
23
  "device_map": null,
24
  "torch_dtype": null,
@@ -73,14 +71,14 @@
73
  "environment": {
74
  "cpu": " AMD EPYC 7763 64-Core Processor",
75
  "cpu_count": 4,
76
- "cpu_ram_mb": 16757.338112,
77
  "system": "Linux",
78
  "machine": "x86_64",
79
- "platform": "Linux-6.5.0-1018-azure-x86_64-with-glibc2.35",
80
  "processor": "x86_64",
81
  "python_version": "3.10.14",
82
  "optimum_benchmark_version": "0.2.0",
83
- "optimum_benchmark_commit": "3e2eebdc0f80ae6deeb2e1faad3e889ed5a4df2d",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.1",
@@ -99,7 +97,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 938.328064,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -107,60 +105,59 @@
107
  },
108
  "latency": {
109
  "unit": "s",
110
- "count": 29,
111
- "total": 1.033992539000053,
112
- "mean": 0.03565491513793286,
113
- "stdev": 0.0023222085218418775,
114
- "p50": 0.03451691599997275,
115
- "p90": 0.03955771140002753,
116
- "p95": 0.0396460457999865,
117
- "p99": 0.04010088595998241,
118
  "values": [
119
- 0.03475112300003502,
120
- 0.03436538300002212,
121
- 0.03398699899997837,
122
- 0.033762078999984624,
123
- 0.033646524999994654,
124
- 0.03398468400001775,
125
- 0.03426834300000792,
126
- 0.03451691599997275,
127
- 0.034104076000005534,
128
- 0.03388195299999097,
129
- 0.03426375399999415,
130
- 0.03352693200002932,
131
- 0.03367064899998695,
132
- 0.03391670899998189,
133
- 0.03423575200002915,
134
- 0.03465082600001779,
135
- 0.03510268700000552,
136
- 0.0345147019999672,
137
- 0.03468595099997174,
138
- 0.03491542900002287,
139
- 0.035026103999996394,
140
- 0.03690583700000616,
141
- 0.039522873000009895,
142
- 0.039162180000005264,
143
- 0.040262870999981715,
144
- 0.039684352999984185,
145
- 0.03953827100002627,
146
- 0.03958858499998996,
147
- 0.03954999300003692
148
  ]
149
  },
150
  "throughput": {
151
  "unit": "samples/s",
152
- "value": 28.046624038549773
153
  },
154
  "energy": {
155
  "unit": "kWh",
156
- "cpu": 1.3160619912324132e-06,
157
- "ram": 5.5000020012954564e-08,
158
  "gpu": 0.0,
159
- "total": 1.3710620112453677e-06
160
  },
161
  "efficiency": {
162
  "unit": "samples/kWh",
163
- "value": 729361.6129672185
164
  }
165
  }
166
  }
 
6
  "version": "2.3.0+cpu",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
 
9
  "library": "transformers",
10
+ "model": "FacebookAI/roberta-base",
11
+ "processor": "FacebookAI/roberta-base",
12
  "device": "cpu",
13
  "device_ids": null,
14
  "seed": 42,
15
  "inter_op_num_threads": null,
16
  "intra_op_num_threads": null,
17
+ "model_kwargs": {},
18
+ "processor_kwargs": {},
19
+ "hub_kwargs": {},
 
 
 
20
  "no_weights": true,
21
  "device_map": null,
22
  "torch_dtype": null,
 
71
  "environment": {
72
  "cpu": " AMD EPYC 7763 64-Core Processor",
73
  "cpu_count": 4,
74
+ "cpu_ram_mb": 16757.354496,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
+ "platform": "Linux-6.5.0-1021-azure-x86_64-with-glibc2.35",
78
  "processor": "x86_64",
79
  "python_version": "3.10.14",
80
  "optimum_benchmark_version": "0.2.0",
81
+ "optimum_benchmark_commit": "6fd377459e287bb09e9383ba2516b1b2a271a562",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.1",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 938.438656,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
105
  },
106
  "latency": {
107
  "unit": "s",
108
+ "count": 28,
109
+ "total": 1.0215995410001142,
110
+ "mean": 0.03648569789286122,
111
+ "stdev": 0.0008005848646550593,
112
+ "p50": 0.036659293000013804,
113
+ "p90": 0.03733936299996685,
114
+ "p95": 0.03750497559999246,
115
+ "p99": 0.037740641569969285,
116
  "values": [
117
+ 0.036768950999999106,
118
+ 0.037187377999998716,
119
+ 0.03699049200002946,
120
+ 0.03708207299996502,
121
+ 0.03467078600004925,
122
+ 0.0370597620000126,
123
+ 0.03732167799995523,
124
+ 0.037380627999993976,
125
+ 0.03780304099996101,
126
+ 0.03757193199999165,
127
+ 0.03482035500002212,
128
+ 0.035600171999988106,
129
+ 0.03664010200003531,
130
+ 0.036425975000042854,
131
+ 0.03583059000004596,
132
+ 0.03652385600003072,
133
+ 0.03646509700001843,
134
+ 0.036678483999992295,
135
+ 0.03626789199995528,
136
+ 0.0348330580000038,
137
+ 0.03696261000004597,
138
+ 0.03685502100000804,
139
+ 0.036109758999998576,
140
+ 0.03686896699997533,
141
+ 0.03555964700001368,
142
+ 0.03629084400000693,
143
+ 0.0369296100000156,
144
+ 0.03610078099995917
 
145
  ]
146
  },
147
  "throughput": {
148
  "unit": "samples/s",
149
+ "value": 27.407999784914615
150
  },
151
  "energy": {
152
  "unit": "kWh",
153
+ "cpu": 1.2260438253482183e-06,
154
+ "ram": 5.1238421406347715e-08,
155
  "gpu": 0.0,
156
+ "total": 1.277282246754566e-06
157
  },
158
  "efficiency": {
159
  "unit": "samples/kWh",
160
+ "value": 782912.3144402032
161
  }
162
  }
163
  }