IlyasMoutawwakil HF staff commited on
Commit
5ec6202
1 Parent(s): 97639e4

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": 16757.346304,
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": "d35829e539df8480b726c647eeabf91e41eae047",
84
  "transformers_version": "4.40.2",
85
  "transformers_commit": null,
86
  "accelerate_version": "0.30.0",
@@ -99,7 +97,7 @@
99
  "forward": {
100
  "memory": {
101
  "unit": "MB",
102
- "max_ram": 939.999232,
103
  "max_global_vram": null,
104
  "max_process_vram": null,
105
  "max_reserved": null,
@@ -108,58 +106,58 @@
108
  "latency": {
109
  "unit": "s",
110
  "count": 28,
111
- "total": 1.0293239969998353,
112
- "mean": 0.036761571321422694,
113
- "stdev": 0.0008942125886073271,
114
- "p50": 0.03669772099999591,
115
- "p90": 0.03755505939997761,
116
- "p95": 0.038112994049990336,
117
- "p99": 0.03890268694000781,
118
  "values": [
119
- 0.03703780000000734,
120
- 0.03655250600002091,
121
- 0.03664948599998752,
122
- 0.03736106200000222,
123
- 0.03510138100000404,
124
- 0.03840163099999927,
125
- 0.03729280499999277,
126
- 0.0363804449999634,
127
- 0.03567905699998164,
128
- 0.037087721999967016,
129
- 0.03554286400003548,
130
- 0.035495094999987487,
131
- 0.03757695399997374,
132
- 0.03655149399997981,
133
- 0.03607628800000384,
134
- 0.03663792399999011,
135
- 0.03674432299999353,
136
- 0.036115941999980805,
137
- 0.03695627700000159,
138
- 0.035110708999980034,
139
- 0.03653979199998503,
140
- 0.03908800900001097,
141
- 0.03732694900003253,
142
- 0.03754567599997927,
143
- 0.03665111899999829,
144
- 0.037072183000020686,
145
- 0.037489781999966,
146
- 0.03725872199999003
147
  ]
148
  },
149
  "throughput": {
150
  "unit": "samples/s",
151
- "value": 27.20231927129984
152
  },
153
  "energy": {
154
  "unit": "kWh",
155
- "cpu": 1.2102729543692335e-06,
156
- "ram": 5.057955064571465e-08,
157
  "gpu": 0.0,
158
- "total": 1.260852505014948e-06
159
  },
160
  "efficiency": {
161
  "unit": "samples/kWh",
162
- "value": 793114.1795115396
163
  }
164
  }
165
  }
 
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": 16757.342208,
75
  "system": "Linux",
76
  "machine": "x86_64",
77
  "platform": "Linux-6.5.0-1018-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": "a8ccb91469272f9f38883fbf3e14bffcd5e95f2d",
82
  "transformers_version": "4.40.2",
83
  "transformers_commit": null,
84
  "accelerate_version": "0.30.0",
 
97
  "forward": {
98
  "memory": {
99
  "unit": "MB",
100
+ "max_ram": 938.917888,
101
  "max_global_vram": null,
102
  "max_process_vram": null,
103
  "max_reserved": null,
 
106
  "latency": {
107
  "unit": "s",
108
  "count": 28,
109
+ "total": 1.0058258579999801,
110
+ "mean": 0.03592235207142786,
111
+ "stdev": 0.0007848632455756293,
112
+ "p50": 0.03595088299999816,
113
+ "p90": 0.036733026899980814,
114
+ "p95": 0.03702370750005457,
115
+ "p99": 0.037275087899979555,
116
  "values": [
117
+ 0.03660465500001919,
118
+ 0.03594406100000924,
119
+ 0.03542373899995255,
120
+ 0.035723478000022624,
121
+ 0.03352365699993243,
122
+ 0.037123153000038656,
123
+ 0.03618024200000036,
124
+ 0.03548061399999369,
125
+ 0.03557593300001827,
126
+ 0.036425119999989874,
127
+ 0.034430351999958475,
128
+ 0.035296990999995614,
129
+ 0.036839023000084126,
130
+ 0.03595770499998707,
131
+ 0.03580468000006931,
132
+ 0.03576080799996362,
133
+ 0.034883738999951674,
134
+ 0.03589771400004338,
135
+ 0.03602366899997378,
136
+ 0.03542640399996344,
137
+ 0.03668759999993654,
138
+ 0.03733128299995769,
139
+ 0.036456197000006796,
140
+ 0.0366834620000418,
141
+ 0.035671600999990005,
142
+ 0.03605761300002541,
143
+ 0.03640382000003228,
144
+ 0.03620854500002224
145
  ]
146
  },
147
  "throughput": {
148
  "unit": "samples/s",
149
+ "value": 27.837820808938233
150
  },
151
  "energy": {
152
  "unit": "kWh",
153
+ "cpu": 1.183896835404213e-06,
154
+ "ram": 4.947704042075946e-08,
155
  "gpu": 0.0,
156
+ "total": 1.2333738758249725e-06
157
  },
158
  "efficiency": {
159
  "unit": "samples/kWh",
160
+ "value": 810784.1584784057
161
  }
162
  }
163
  }