IlyasMoutawwakil HF staff commited on
Commit
8315b4f
·
verified ·
1 Parent(s): 31dd21c

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

Browse files
cuda_training_transformers_text-classification_FacebookAI/roberta-base/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.4.0+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
9
  "library": "transformers",
@@ -110,7 +110,7 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1286.377472,
114
  "max_global_vram": 3379.03616,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2730.491904,
@@ -119,24 +119,24 @@
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.5373849639892578,
123
- "mean": 0.10747699279785157,
124
- "stdev": 0.11387958447566991,
125
- "p50": 0.05064396667480469,
126
- "p90": 0.22158991699218755,
127
- "p95": 0.27841249694824216,
128
- "p99": 0.3238705609130859,
129
  "values": [
130
- 0.3352350769042969,
131
- 0.051122177124023435,
132
- 0.050305023193359374,
133
- 0.05064396667480469,
134
- 0.050078720092773435
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 93.0431689581093
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,7 +144,7 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1286.377472,
148
  "max_global_vram": 3379.03616,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2730.491904,
@@ -153,21 +153,21 @@
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.38635725402832033,
157
- "mean": 0.19317862701416016,
158
- "stdev": 0.14205644989013672,
159
- "p50": 0.19317862701416016,
160
- "p90": 0.30682378692626955,
161
- "p95": 0.3210294319152832,
162
- "p99": 0.3323939479064941,
163
  "values": [
164
- 0.3352350769042969,
165
- 0.051122177124023435
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 20.706224398762274
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,7 +175,7 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1286.377472,
179
  "max_global_vram": 3379.03616,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2730.491904,
@@ -184,22 +184,22 @@
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.1510277099609375,
188
- "mean": 0.05034256998697917,
189
- "stdev": 0.00023228322641099093,
190
- "p50": 0.050305023193359374,
191
- "p90": 0.05057617797851563,
192
- "p95": 0.050610072326660156,
193
- "p99": 0.05063718780517578,
194
  "values": [
195
- 0.050305023193359374,
196
- 0.05064396667480469,
197
- 0.050078720092773435
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 119.18342670133582
203
  },
204
  "energy": null,
205
  "efficiency": null
 
3
  "name": "cuda_training_transformers_text-classification_FacebookAI/roberta-base",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.4.1+cu124",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "task": "text-classification",
9
  "library": "transformers",
 
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
+ "max_ram": 1286.0416,
114
  "max_global_vram": 3379.03616,
115
  "max_process_vram": 0.0,
116
  "max_reserved": 2730.491904,
 
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
+ "total": 0.5411123237609864,
123
+ "mean": 0.10822246475219728,
124
+ "stdev": 0.1135324297859491,
125
+ "p50": 0.05178265762329102,
126
+ "p90": 0.22202920989990238,
127
+ "p95": 0.27865722885131833,
128
+ "p99": 0.3239596440124512,
129
  "values": [
130
+ 0.3352852478027344,
131
+ 0.05178265762329102,
132
+ 0.0521451530456543,
133
+ 0.05074431991577148,
134
+ 0.051154945373535154
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 92.40225698885652
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1286.0416,
148
  "max_global_vram": 3379.03616,
149
  "max_process_vram": 0.0,
150
  "max_reserved": 2730.491904,
 
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
+ "total": 0.3870679054260254,
157
+ "mean": 0.1935339527130127,
158
+ "stdev": 0.1417512950897217,
159
+ "p50": 0.1935339527130127,
160
+ "p90": 0.3069349887847901,
161
+ "p95": 0.3211101182937622,
162
+ "p99": 0.3324502219009399,
163
  "values": [
164
+ 0.3352852478027344,
165
+ 0.05178265762329102
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 20.668208053041283
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1286.0416,
179
  "max_global_vram": 3379.03616,
180
  "max_process_vram": 0.0,
181
  "max_reserved": 2730.491904,
 
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
+ "total": 0.15404441833496094,
188
+ "mean": 0.05134813944498698,
189
+ "stdev": 0.0005879775088541068,
190
+ "p50": 0.051154945373535154,
191
+ "p90": 0.05194711151123047,
192
+ "p95": 0.05204613227844238,
193
+ "p99": 0.05212534889221192,
194
  "values": [
195
+ 0.0521451530456543,
196
+ 0.05074431991577148,
197
+ 0.051154945373535154
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 116.84941391943207
203
  },
204
  "energy": null,
205
  "efficiency": null