Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
ae0d251
·
verified ·
1 Parent(s): 9f9527a

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": "6",
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": 1140.609024,
121
- "max_global_vram": 2953.265152,
122
- "max_process_vram": 307298.648064,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
- "total": 0.7389322624206542,
130
- "mean": 0.14778645248413086,
131
- "stdev": 0.20901675363388497,
132
- "p50": 0.04317353820800781,
133
- "p90": 0.35697986145019533,
134
- "p95": 0.4613997817993163,
135
- "p99": 0.5449357180786132,
136
  "values": [
137
- 0.5658197021484375,
138
- 0.04372010040283203,
139
- 0.04316442108154297,
140
- 0.04317353820800781,
141
- 0.04305450057983398
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 67.66520091598916
147
  },
148
  "energy": null,
149
  "efficiency": null
@@ -151,30 +151,30 @@
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
- "max_ram": 1140.609024,
155
- "max_global_vram": 2953.265152,
156
- "max_process_vram": 307298.648064,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
- "total": 0.6095398025512695,
164
- "mean": 0.30476990127563475,
165
- "stdev": 0.2610498008728027,
166
- "p50": 0.30476990127563475,
167
- "p90": 0.513609741973877,
168
- "p95": 0.5397147220611571,
169
- "p99": 0.5605987061309814,
170
  "values": [
171
- 0.5658197021484375,
172
- 0.04372010040283203
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
- "value": 13.124655627926948
178
  },
179
  "energy": null,
180
  "efficiency": null
@@ -182,31 +182,31 @@
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
- "max_ram": 1140.609024,
186
- "max_global_vram": 2953.265152,
187
- "max_process_vram": 307298.648064,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
- "total": 0.12939245986938475,
195
- "mean": 0.043130819956461584,
196
- "stdev": 5.409415208913444e-05,
197
- "p50": 0.04316442108154297,
198
- "p90": 0.043171714782714844,
199
- "p95": 0.04317262649536133,
200
- "p99": 0.04317335586547851,
201
  "values": [
202
- 0.04316442108154297,
203
- 0.04317353820800781,
204
- 0.04305450057983398
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
- "value": 139.1116608971659
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": "5",
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": 1140.71552,
121
+ "max_global_vram": 2953.478144,
122
+ "max_process_vram": 307562.31168,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
125
  },
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
+ "total": 0.7475597496032714,
130
+ "mean": 0.14951194992065428,
131
+ "stdev": 0.21126598826339738,
132
+ "p50": 0.044136192321777346,
133
+ "p90": 0.36095178375244147,
134
+ "p95": 0.4664976203918456,
135
+ "p99": 0.5509342897033691,
136
  "values": [
137
+ 0.57204345703125,
138
+ 0.044314273834228514,
139
+ 0.044136192321777346,
140
+ 0.04355155181884766,
141
+ 0.043514274597167966
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 66.88428587351702
147
  },
148
  "energy": null,
149
  "efficiency": null
 
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 1140.71552,
155
+ "max_global_vram": 2953.478144,
156
+ "max_process_vram": 307562.31168,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
159
  },
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
+ "total": 0.6163577308654785,
164
+ "mean": 0.30817886543273926,
165
+ "stdev": 0.2638645915985107,
166
+ "p50": 0.30817886543273926,
167
+ "p90": 0.5192705387115479,
168
+ "p95": 0.545656997871399,
169
+ "p99": 0.5667661651992798,
170
  "values": [
171
+ 0.57204345703125,
172
+ 0.044314273834228514
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
+ "value": 12.979475391290286
178
  },
179
  "energy": null,
180
  "efficiency": null
 
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
+ "max_ram": 1140.71552,
186
+ "max_global_vram": 2953.478144,
187
+ "max_process_vram": 307562.31168,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
190
  },
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
+ "total": 0.13120201873779297,
195
+ "mean": 0.04373400624593099,
196
+ "stdev": 0.0002847953973382262,
197
+ "p50": 0.04355155181884766,
198
+ "p90": 0.04401926422119141,
199
+ "p95": 0.04407772827148437,
200
+ "p99": 0.04412449951171875,
201
  "values": [
202
+ 0.044136192321777346,
203
+ 0.04355155181884766,
204
+ 0.043514274597167966
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
+ "value": 137.19301100063842
210
  },
211
  "energy": null,
212
  "efficiency": null