IlyasMoutawwakil HF staff commited on
Commit
2050841
·
verified ·
1 Parent(s): 610f9fb

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": "2.4.0+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": 1200.738304,
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": 0.8737300529479982,
123
- "mean": 0.17474601058959965,
124
- "stdev": 0.2610809704779885,
125
- "p50": 0.04429312133789062,
126
- "p90": 0.43596636199951183,
127
- "p95": 0.5664370689392089,
128
- "p99": 0.6708136344909668,
129
  "values": [
130
- 0.6969077758789063,
131
- 0.04455424118041992,
132
- 0.04429312133789062,
133
- 0.04403712081909179,
134
- 0.043937793731689455
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 57.22591300516459
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,7 +144,7 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1200.738304,
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": 0.7414620170593262,
157
- "mean": 0.3707310085296631,
158
- "stdev": 0.32617676734924317,
159
- "p50": 0.3707310085296631,
160
- "p90": 0.6316724224090576,
161
- "p95": 0.664290099143982,
162
- "p99": 0.6903842405319214,
163
  "values": [
164
- 0.6969077758789063,
165
- 0.04455424118041992
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 10.789494021188546
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,7 +175,7 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1200.738304,
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": 0.13226803588867186,
188
- "mean": 0.04408934529622396,
189
- "stdev": 0.00014968850755476412,
190
- "p50": 0.04403712081909179,
191
- "p90": 0.04424192123413086,
192
- "p95": 0.04426752128601074,
193
- "p99": 0.04428800132751465,
194
  "values": [
195
- 0.04429312133789062,
196
- 0.04403712081909179,
197
- 0.043937793731689455
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 136.08730090428156
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+cu124",
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": 1330.499584,
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": 0.5368964500427246,
123
+ "mean": 0.10737929000854492,
124
+ "stdev": 0.12566044558560588,
125
+ "p50": 0.04494745635986328,
126
+ "p90": 0.23321026458740238,
127
+ "p95": 0.29595463485717766,
128
+ "p99": 0.346150131072998,
129
  "values": [
130
+ 0.35869900512695313,
131
+ 0.04494745635986328,
132
+ 0.0443043212890625,
133
+ 0.04396851348876953,
134
+ 0.04497715377807617
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 93.12782752804783
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1330.499584,
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": 0.40364646148681643,
157
+ "mean": 0.20182323074340822,
158
+ "stdev": 0.15687577438354494,
159
+ "p50": 0.20182323074340822,
160
+ "p90": 0.32732385025024413,
161
+ "p95": 0.3430114276885986,
162
+ "p99": 0.35556148963928225,
163
  "values": [
164
+ 0.35869900512695313,
165
+ 0.04494745635986328
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 19.819323995885664
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1330.499584,
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": 0.1332499885559082,
188
+ "mean": 0.0444166628519694,
189
+ "stdev": 0.0004193679993914808,
190
+ "p50": 0.0443043212890625,
191
+ "p90": 0.04484258728027344,
192
+ "p95": 0.044909870529174806,
193
+ "p99": 0.0449636971282959,
194
  "values": [
195
+ 0.0443043212890625,
196
+ 0.04396851348876953,
197
+ 0.04497715377807617
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 135.08443936899604
203
  },
204
  "energy": null,
205
  "efficiency": null