Hugging Face's logo

Datasets:
optimum-benchmark
/
rocm

Dataset card Viewer Files Community
IlyasMoutawwakil HF staff commited on
Commit
ff1e4ed
·
verified ·
1 Parent(s): 75d965d

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 +41 -41
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": "4",
15
  "seed": 42,
16
  "inter_op_num_threads": null,
17
  "intra_op_num_threads": null,
@@ -117,8 +117,8 @@
117
  "overall": {
118
  "memory": {
119
  "unit": "MB",
120
- "max_ram": 1631.309824,
121
- "max_global_vram": 12.038144,
122
  "max_process_vram": 0.0,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
@@ -126,24 +126,24 @@
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
- "total": 0.7480139007568359,
130
- "mean": 0.1496027801513672,
131
- "stdev": 0.2117695812414152,
132
- "p50": 0.04354911041259766,
133
- "p90": 0.3617914947509766,
134
- "p95": 0.46746599884033196,
135
- "p99": 0.5520056021118165,
136
  "values": [
137
- 0.5731405029296875,
138
- 0.044767982482910154,
139
- 0.0433351936340332,
140
- 0.04354911041259766,
141
- 0.043221111297607424
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
- "value": 66.8436775699092
147
  },
148
  "energy": null,
149
  "efficiency": null
@@ -151,8 +151,8 @@
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
- "max_ram": 1631.309824,
155
- "max_global_vram": 12.038144,
156
  "max_process_vram": 0.0,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
@@ -160,21 +160,21 @@
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
- "total": 0.6179084854125977,
164
- "mean": 0.30895424270629884,
165
- "stdev": 0.2641862602233887,
166
- "p50": 0.30895424270629884,
167
- "p90": 0.5203032508850098,
168
- "p95": 0.5467218769073486,
169
- "p99": 0.5678567777252198,
170
  "values": [
171
- 0.5731405029296875,
172
- 0.044767982482910154
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
- "value": 12.946901019910964
178
  },
179
  "energy": null,
180
  "efficiency": null
@@ -182,8 +182,8 @@
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
- "max_ram": 1631.309824,
186
- "max_global_vram": 12.038144,
187
  "max_process_vram": 0.0,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
@@ -191,22 +191,22 @@
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
- "total": 0.13010541534423828,
195
- "mean": 0.04336847178141276,
196
- "stdev": 0.00013595693234343524,
197
- "p50": 0.0433351936340332,
198
- "p90": 0.043506327056884765,
199
- "p95": 0.04352771873474121,
200
- "p99": 0.04354483207702637,
201
  "values": [
202
- 0.0433351936340332,
203
- 0.04354911041259766,
204
- 0.043221111297607424
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
- "value": 138.34935273351118
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": 1631.760384,
121
+ "max_global_vram": 12.079104,
122
  "max_process_vram": 0.0,
123
  "max_reserved": 2497.708032,
124
  "max_allocated": 2195.345408
 
126
  "latency": {
127
  "unit": "s",
128
  "count": 5,
129
+ "total": 0.7475482940673829,
130
+ "mean": 0.14950965881347658,
131
+ "stdev": 0.20974280056173686,
132
+ "p50": 0.04470623779296875,
133
+ "p90": 0.35944556121826177,
134
+ "p95": 0.4642202171325683,
135
+ "p99": 0.5480399418640136,
136
  "values": [
137
+ 0.568994873046875,
138
+ 0.045121593475341795,
139
+ 0.04470623779296875,
140
+ 0.04445151519775391,
141
+ 0.04427407455444336
142
  ]
143
  },
144
  "throughput": {
145
  "unit": "samples/s",
146
+ "value": 66.88531081778252
147
  },
148
  "energy": null,
149
  "efficiency": null
 
151
  "warmup": {
152
  "memory": {
153
  "unit": "MB",
154
+ "max_ram": 1631.760384,
155
+ "max_global_vram": 12.079104,
156
  "max_process_vram": 0.0,
157
  "max_reserved": 2497.708032,
158
  "max_allocated": 2195.345408
 
160
  "latency": {
161
  "unit": "s",
162
  "count": 2,
163
+ "total": 0.6141164665222169,
164
+ "mean": 0.3070582332611084,
165
+ "stdev": 0.2619366397857666,
166
+ "p50": 0.3070582332611084,
167
+ "p90": 0.5166075450897217,
168
+ "p95": 0.5428012090682983,
169
+ "p99": 0.5637561402511597,
170
  "values": [
171
+ 0.568994873046875,
172
+ 0.045121593475341795
173
  ]
174
  },
175
  "throughput": {
176
  "unit": "samples/s",
177
+ "value": 13.026844965262928
178
  },
179
  "energy": null,
180
  "efficiency": null
 
182
  "train": {
183
  "memory": {
184
  "unit": "MB",
185
+ "max_ram": 1631.760384,
186
+ "max_global_vram": 12.079104,
187
  "max_process_vram": 0.0,
188
  "max_reserved": 2497.708032,
189
  "max_allocated": 2195.345408
 
191
  "latency": {
192
  "unit": "s",
193
  "count": 3,
194
+ "total": 0.13343182754516603,
195
+ "mean": 0.044477275848388675,
196
+ "stdev": 0.00017736774326059085,
197
+ "p50": 0.04445151519775391,
198
+ "p90": 0.044655293273925784,
199
+ "p95": 0.04468076553344726,
200
+ "p99": 0.04470114334106445,
201
  "values": [
202
+ 0.04470623779296875,
203
+ 0.04445151519775391,
204
+ 0.04427407455444336
205
  ]
206
  },
207
  "throughput": {
208
  "unit": "samples/s",
209
+ "value": 134.90034822394296
210
  },
211
  "energy": null,
212
  "efficiency": null