IlyasMoutawwakil HF staff commited on
Commit
1ed62f8
·
verified ·
1 Parent(s): f806e27

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
@@ -51,6 +51,7 @@
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
 
54
  "do_train": true,
55
  "use_cpu": false,
56
  "max_steps": 5,
@@ -107,7 +108,7 @@
107
  "overall": {
108
  "memory": {
109
  "unit": "MB",
110
- "max_ram": 1760.82944,
111
  "max_global_vram": 3559.391232,
112
  "max_process_vram": 0.0,
113
  "max_reserved": 2910.846976,
@@ -116,24 +117,24 @@
116
  "latency": {
117
  "unit": "s",
118
  "count": 5,
119
- "total": 0.9005373725891113,
120
- "mean": 0.18010747451782225,
121
- "stdev": 0.2731880845120242,
122
- "p50": 0.04335615921020508,
123
- "p90": 0.4536234146118165,
124
- "p95": 0.5900531929016112,
125
- "p99": 0.6991970155334473,
126
  "values": [
127
- 0.7264829711914063,
128
- 0.04433407974243164,
129
- 0.04335615921020508,
130
- 0.043199489593505856,
131
- 0.0431646728515625
132
  ]
133
  },
134
  "throughput": {
135
  "unit": "samples/s",
136
- "value": 55.52240420211137
137
  },
138
  "energy": null,
139
  "efficiency": null
@@ -141,7 +142,7 @@
141
  "warmup": {
142
  "memory": {
143
  "unit": "MB",
144
- "max_ram": 1760.82944,
145
  "max_global_vram": 3559.391232,
146
  "max_process_vram": 0.0,
147
  "max_reserved": 2910.846976,
@@ -150,21 +151,21 @@
150
  "latency": {
151
  "unit": "s",
152
  "count": 2,
153
- "total": 0.7708170509338379,
154
- "mean": 0.38540852546691895,
155
- "stdev": 0.3410744457244873,
156
- "p50": 0.38540852546691895,
157
- "p90": 0.6582680820465088,
158
- "p95": 0.6923755266189575,
159
- "p99": 0.7196614822769165,
160
  "values": [
161
- 0.7264829711914063,
162
- 0.04433407974243164
163
  ]
164
  },
165
  "throughput": {
166
  "unit": "samples/s",
167
- "value": 10.378597606666942
168
  },
169
  "energy": null,
170
  "efficiency": null
@@ -172,7 +173,7 @@
172
  "train": {
173
  "memory": {
174
  "unit": "MB",
175
- "max_ram": 1760.82944,
176
  "max_global_vram": 3559.391232,
177
  "max_process_vram": 0.0,
178
  "max_reserved": 2910.846976,
@@ -181,22 +182,22 @@
181
  "latency": {
182
  "unit": "s",
183
  "count": 3,
184
- "total": 0.12972032165527345,
185
- "mean": 0.04324010721842448,
186
- "stdev": 8.328305140531715e-05,
187
- "p50": 0.043199489593505856,
188
- "p90": 0.04332482528686524,
189
- "p95": 0.04334049224853516,
190
- "p99": 0.043353025817871094,
191
  "values": [
192
- 0.04335615921020508,
193
- 0.043199489593505856,
194
- 0.0431646728515625
195
  ]
196
  },
197
  "throughput": {
198
  "unit": "samples/s",
199
- "value": 138.76006295940493
200
  },
201
  "energy": null,
202
  "efficiency": null
 
51
  "per_device_train_batch_size": 2,
52
  "gradient_accumulation_steps": 1,
53
  "output_dir": "./trainer_output",
54
+ "evaluation_strategy": "no",
55
  "do_train": true,
56
  "use_cpu": false,
57
  "max_steps": 5,
 
108
  "overall": {
109
  "memory": {
110
  "unit": "MB",
111
+ "max_ram": 1742.278656,
112
  "max_global_vram": 3559.391232,
113
  "max_process_vram": 0.0,
114
  "max_reserved": 2910.846976,
 
117
  "latency": {
118
  "unit": "s",
119
  "count": 5,
120
+ "total": 0.8829122428894044,
121
+ "mean": 0.17658244857788088,
122
+ "stdev": 0.2666477707691915,
123
+ "p50": 0.04337561416625976,
124
+ "p90": 0.44339485931396494,
125
+ "p95": 0.576636302947998,
126
+ "p99": 0.6832294578552246,
127
  "values": [
128
+ 0.7098777465820313,
129
+ 0.043670528411865236,
130
+ 0.042967041015625,
131
+ 0.04337561416625976,
132
+ 0.04302131271362305
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
+ "value": 56.630769821891704
138
  },
139
  "energy": null,
140
  "efficiency": null
 
142
  "warmup": {
143
  "memory": {
144
  "unit": "MB",
145
+ "max_ram": 1742.278656,
146
  "max_global_vram": 3559.391232,
147
  "max_process_vram": 0.0,
148
  "max_reserved": 2910.846976,
 
151
  "latency": {
152
  "unit": "s",
153
  "count": 2,
154
+ "total": 0.7535482749938965,
155
+ "mean": 0.37677413749694827,
156
+ "stdev": 0.333103609085083,
157
+ "p50": 0.37677413749694827,
158
+ "p90": 0.6432570247650147,
159
+ "p95": 0.6765673856735229,
160
+ "p99": 0.7032156744003296,
161
  "values": [
162
+ 0.7098777465820313,
163
+ 0.043670528411865236
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
+ "value": 10.616439935536707
169
  },
170
  "energy": null,
171
  "efficiency": null
 
173
  "train": {
174
  "memory": {
175
  "unit": "MB",
176
+ "max_ram": 1742.278656,
177
  "max_global_vram": 3559.391232,
178
  "max_process_vram": 0.0,
179
  "max_reserved": 2910.846976,
 
182
  "latency": {
183
  "unit": "s",
184
  "count": 3,
185
+ "total": 0.1293639678955078,
186
+ "mean": 0.043121322631835934,
187
+ "stdev": 0.00018117117625902088,
188
+ "p50": 0.04302131271362305,
189
+ "p90": 0.04330475387573242,
190
+ "p95": 0.04334018402099609,
191
+ "p99": 0.04336852813720703,
192
  "values": [
193
+ 0.042967041015625,
194
+ 0.04337561416625976,
195
+ 0.04302131271362305
196
  ]
197
  },
198
  "throughput": {
199
  "unit": "samples/s",
200
+ "value": 139.14229976726816
201
  },
202
  "energy": null,
203
  "efficiency": null