IlyasMoutawwakil HF staff commited on
Commit
0e86da8
·
verified ·
1 Parent(s): 767cf70

Upload cuda_training_transformers_text-generation_openai-community/gpt2/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_text-generation_openai-community/gpt2/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_text-generation_openai-community/gpt2",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.3.1+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-generation",
9
  "library": "transformers",
@@ -110,7 +110,7 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1150.910464,
114
  "max_global_vram": 3559.391232,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2910.846976,
@@ -119,24 +119,24 @@
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.9237544822692872,
123
- "mean": 0.18475089645385745,
124
- "stdev": 0.2835428578113262,
125
- "p50": 0.0428042221069336,
126
- "p90": 0.4685625473022462,
127
- "p95": 0.6101993644714354,
128
- "p99": 0.7235088182067871,
129
  "values": [
130
- 0.751836181640625,
131
- 0.043652095794677735,
132
- 0.0428042221069336,
133
- 0.04268848037719727,
134
- 0.04277350234985351
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 54.12693627983318
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,7 +144,7 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1150.910464,
148
  "max_global_vram": 3559.391232,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2910.846976,
@@ -153,21 +153,21 @@
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.7954882774353028,
157
- "mean": 0.3977441387176514,
158
- "stdev": 0.35409204292297364,
159
- "p50": 0.3977441387176514,
160
- "p90": 0.6810177730560303,
161
- "p95": 0.7164269773483276,
162
- "p99": 0.7447543407821655,
163
  "values": [
164
- 0.751836181640625,
165
- 0.043652095794677735
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 10.056716392845452
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,7 +175,7 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1150.910464,
179
  "max_global_vram": 3559.391232,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2910.846976,
@@ -184,22 +184,22 @@
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.12826620483398438,
188
- "mean": 0.042755401611328125,
189
- "stdev": 4.895415918293833e-05,
190
- "p50": 0.04277350234985351,
191
- "p90": 0.04279807815551758,
192
- "p95": 0.04280115013122559,
193
- "p99": 0.042803607711791994,
194
  "values": [
195
- 0.0428042221069336,
196
- 0.04268848037719727,
197
- 0.04277350234985351
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 140.3331456114843
203
  },
204
  "energy": null,
205
  "efficiency": null
 
3
  "name": "cuda_training_transformers_text-generation_openai-community/gpt2",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.0+cu121",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-generation",
9
  "library": "transformers",
 
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
+ "max_ram": 1200.103424,
114
  "max_global_vram": 3559.391232,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2910.846976,
 
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
+ "total": 0.8950415420532225,
123
+ "mean": 0.1790083084106445,
124
+ "stdev": 0.2700479903443681,
125
+ "p50": 0.044267520904541016,
126
+ "p90": 0.44918579406738285,
127
+ "p95": 0.5841448989868162,
128
+ "p99": 0.6921121829223632,
129
  "values": [
130
+ 0.71910400390625,
131
+ 0.04430847930908203,
132
+ 0.04359270477294922,
133
+ 0.04376883316040039,
134
+ 0.044267520904541016
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 55.86332885208898
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1200.103424,
148
  "max_global_vram": 3559.391232,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2910.846976,
 
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
+ "total": 0.763412483215332,
157
+ "mean": 0.381706241607666,
158
+ "stdev": 0.3373977622985839,
159
+ "p50": 0.381706241607666,
160
+ "p90": 0.6516244514465331,
161
+ "p95": 0.6853642276763915,
162
+ "p99": 0.7123560486602782,
163
  "values": [
164
+ 0.71910400390625,
165
+ 0.04430847930908203
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 10.479262752300947
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1200.103424,
179
  "max_global_vram": 3559.391232,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2910.846976,
 
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
+ "total": 0.1316290588378906,
188
+ "mean": 0.04387635294596354,
189
+ "stdev": 0.00028579081053547843,
190
+ "p50": 0.04376883316040039,
191
+ "p90": 0.04416778335571289,
192
+ "p95": 0.044217652130126954,
193
+ "p99": 0.044257547149658204,
194
  "values": [
195
+ 0.04359270477294922,
196
+ 0.04376883316040039,
197
+ 0.044267520904541016
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 136.7479199419645
203
  },
204
  "energy": null,
205
  "efficiency": null