Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
e59f0ac
·
verified ·
1 Parent(s): 9df40f6

Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json +44 -44
cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json CHANGED
@@ -11,7 +11,7 @@
11
  "model": "google-bert/bert-base-uncased",
12
  "processor": "google-bert/bert-base-uncased",
13
  "device": "cuda",
14
- "device_ids": "5",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
@@ -117,33 +117,33 @@
117
  "overall": {
118
  "memory": {
119
  "unit": "MB",
120
- "max_ram": 1140.789248,
121
- "max_global_vram": 2953.244672,
122
- "max_process_vram": 304821.260288,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
- "total": 0.7745280303955078,
130
- "mean": 0.15490560607910156,
131
- "stdev": 0.22394865082078447,
132
- "p50": 0.04271655654907226,
133
- "p90": 0.3793027145385743,
134
- "p95": 0.49105202255249014,
135
- "p99": 0.5804514689636231,
136
  "values": [
137
- 0.6028013305664063,
138
- 0.044054790496826174,
139
- 0.0426295166015625,
140
- 0.04271655654907226,
141
- 0.042325836181640625
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 64.55544284752072
147
  },
148
  "energy": null,
149
  "efficiency": null
@@ -151,30 +151,30 @@
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
- "max_ram": 1140.789248,
155
- "max_global_vram": 2953.244672,
156
- "max_process_vram": 304821.260288,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
- "total": 0.6468561210632324,
164
- "mean": 0.3234280605316162,
165
- "stdev": 0.27937327003479007,
166
- "p50": 0.3234280605316162,
167
- "p90": 0.5469266765594483,
168
- "p95": 0.5748640035629272,
169
- "p99": 0.5972138651657105,
170
  "values": [
171
- 0.6028013305664063,
172
- 0.044054790496826174
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
- "value": 12.36751070214882
178
  },
179
  "energy": null,
180
  "efficiency": null
@@ -182,31 +182,31 @@
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
- "max_ram": 1140.789248,
186
- "max_global_vram": 2953.244672,
187
- "max_process_vram": 304821.260288,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
- "total": 0.1276719093322754,
195
- "mean": 0.04255730311075847,
196
- "stdev": 0.00016748471088840153,
197
- "p50": 0.0426295166015625,
198
- "p90": 0.04269914855957031,
199
- "p95": 0.04270785255432129,
200
- "p99": 0.042714815750122065,
201
  "values": [
202
- 0.0426295166015625,
203
- 0.04271655654907226,
204
- 0.042325836181640625
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
- "value": 140.98637745875402
210
  },
211
  "energy": null,
212
  "efficiency": null
 
11
  "model": "google-bert/bert-base-uncased",
12
  "processor": "google-bert/bert-base-uncased",
13
  "device": "cuda",
14
+ "device_ids": "6",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
 
117
  "overall": {
118
  "memory": {
119
  "unit": "MB",
120
+ "max_ram": 1140.887552,
121
+ "max_global_vram": 2953.265152,
122
+ "max_process_vram": 299822.682112,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
+ "total": 0.6710782089233398,
130
+ "mean": 0.13421564178466797,
131
+ "stdev": 0.1872905670480197,
132
+ "p50": 0.040692584991455075,
133
+ "p90": 0.32161682739257813,
134
+ "p95": 0.4152066680908202,
135
+ "p99": 0.49007854064941403,
136
  "values": [
137
+ 0.5087965087890625,
138
+ 0.04084730529785156,
139
+ 0.04017226409912109,
140
+ 0.04056954574584961,
141
+ 0.040692584991455075
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 74.50696406938721
147
  },
148
  "energy": null,
149
  "efficiency": null
 
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 1140.887552,
155
+ "max_global_vram": 2953.265152,
156
+ "max_process_vram": 299822.682112,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
+ "total": 0.549643814086914,
164
+ "mean": 0.274821907043457,
165
+ "stdev": 0.23397460174560544,
166
+ "p50": 0.274821907043457,
167
+ "p90": 0.4620015884399414,
168
+ "p95": 0.4853990486145019,
169
+ "p99": 0.5041170167541503,
170
  "values": [
171
+ 0.5087965087890625,
172
+ 0.04084730529785156
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
+ "value": 14.554880442509587
178
  },
179
  "energy": null,
180
  "efficiency": null
 
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
+ "max_ram": 1140.887552,
186
+ "max_global_vram": 2953.265152,
187
+ "max_process_vram": 299822.682112,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
+ "total": 0.12143439483642578,
195
+ "mean": 0.04047813161214193,
196
+ "stdev": 0.0002220373326431881,
197
+ "p50": 0.04056954574584961,
198
+ "p90": 0.04066797714233398,
199
+ "p95": 0.04068028106689453,
200
+ "p99": 0.040690124206542964,
201
  "values": [
202
+ 0.04017226409912109,
203
+ 0.04056954574584961,
204
+ 0.040692584991455075
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
+ "value": 148.2281854679336
210
  },
211
  "energy": null,
212
  "efficiency": null