IlyasMoutawwakil HF staff commited on
Commit
6ec0110
·
verified ·
1 Parent(s): 794619b

Upload cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_token-classification_microsoft/deberta-v3-base/benchmark.json CHANGED
@@ -89,7 +89,7 @@
89
  "gpu_count": 1,
90
  "gpu_vram_mb": 68702699520,
91
  "optimum_benchmark_version": "0.2.1",
92
- "optimum_benchmark_commit": "43734676b09236e2ae4d7c19f90e8e23d1f2f201",
93
  "transformers_version": "4.42.3",
94
  "transformers_commit": null,
95
  "accelerate_version": "0.31.0",
@@ -108,33 +108,33 @@
108
  "overall": {
109
  "memory": {
110
  "unit": "MB",
111
- "max_ram": 1929.76896,
112
- "max_global_vram": 4374.474752,
113
- "max_process_vram": 1704637.09184,
114
  "max_reserved": 3919.577088,
115
  "max_allocated": 3695.353344
116
  },
117
  "latency": {
118
  "unit": "s",
119
  "count": 5,
120
- "total": 0.9141182785034181,
121
- "mean": 0.18282365570068362,
122
- "stdev": 0.21775213542052513,
123
- "p50": 0.07419720458984375,
124
- "p90": 0.4007658294677735,
125
- "p95": 0.5095465194702148,
126
- "p99": 0.596571071472168,
127
  "values": [
128
- 0.6183272094726563,
129
- 0.07392328643798828,
130
- 0.07419720458984375,
131
- 0.07442375946044921,
132
- 0.07324681854248047
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
- "value": 54.69751691417801
138
  },
139
  "energy": null,
140
  "efficiency": null
@@ -142,30 +142,30 @@
142
  "warmup": {
143
  "memory": {
144
  "unit": "MB",
145
- "max_ram": 1929.76896,
146
- "max_global_vram": 4374.474752,
147
- "max_process_vram": 1704637.09184,
148
  "max_reserved": 3919.577088,
149
  "max_allocated": 3695.353344
150
  },
151
  "latency": {
152
  "unit": "s",
153
  "count": 2,
154
- "total": 0.6922504959106446,
155
- "mean": 0.3461252479553223,
156
- "stdev": 0.272201961517334,
157
- "p50": 0.3461252479553223,
158
- "p90": 0.5638868171691895,
159
- "p95": 0.5911070133209229,
160
- "p99": 0.6128831702423096,
161
  "values": [
162
- 0.6183272094726563,
163
- 0.07392328643798828
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
- "value": 11.55651031997619
169
  },
170
  "energy": null,
171
  "efficiency": null
@@ -173,31 +173,31 @@
173
  "train": {
174
  "memory": {
175
  "unit": "MB",
176
- "max_ram": 1929.76896,
177
- "max_global_vram": 4374.474752,
178
- "max_process_vram": 1704637.09184,
179
  "max_reserved": 3919.577088,
180
  "max_allocated": 3695.353344
181
  },
182
  "latency": {
183
  "unit": "s",
184
  "count": 3,
185
- "total": 0.22186778259277343,
186
- "mean": 0.07395592753092448,
187
- "stdev": 0.0005098747855881398,
188
- "p50": 0.07419720458984375,
189
- "p90": 0.07437844848632812,
190
- "p95": 0.07440110397338867,
191
- "p99": 0.0744192283630371,
192
  "values": [
193
- 0.07419720458984375,
194
- 0.07442375946044921,
195
- 0.07324681854248047
196
  ]
197
  },
198
  "throughput": {
199
  "unit": "samples/s",
200
- "value": 81.12939963454743
201
  },
202
  "energy": null,
203
  "efficiency": null
 
89
  "gpu_count": 1,
90
  "gpu_vram_mb": 68702699520,
91
  "optimum_benchmark_version": "0.2.1",
92
+ "optimum_benchmark_commit": "074fc31a7e13e70facbebbf8b363a0c312f75f69",
93
  "transformers_version": "4.42.3",
94
  "transformers_commit": null,
95
  "accelerate_version": "0.31.0",
 
108
  "overall": {
109
  "memory": {
110
  "unit": "MB",
111
+ "max_ram": 1930.407936,
112
+ "max_global_vram": 4374.421504,
113
+ "max_process_vram": 1713410.596864,
114
  "max_reserved": 3919.577088,
115
  "max_allocated": 3695.353344
116
  },
117
  "latency": {
118
  "unit": "s",
119
  "count": 5,
120
+ "total": 0.8824493789672851,
121
+ "mean": 0.17648987579345704,
122
+ "stdev": 0.2060442703946424,
123
+ "p50": 0.07350830078125,
124
+ "p90": 0.3826637420654297,
125
+ "p95": 0.485620994567871,
126
+ "p99": 0.5679867965698242,
127
  "values": [
128
+ 0.5885782470703125,
129
+ 0.07379198455810547,
130
+ 0.07331166076660156,
131
+ 0.07350830078125,
132
+ 0.07325918579101562
133
  ]
134
  },
135
  "throughput": {
136
  "unit": "samples/s",
137
+ "value": 56.66047389428061
138
  },
139
  "energy": null,
140
  "efficiency": null
 
142
  "warmup": {
143
  "memory": {
144
  "unit": "MB",
145
+ "max_ram": 1930.407936,
146
+ "max_global_vram": 4374.421504,
147
+ "max_process_vram": 1713410.596864,
148
  "max_reserved": 3919.577088,
149
  "max_allocated": 3695.353344
150
  },
151
  "latency": {
152
  "unit": "s",
153
  "count": 2,
154
+ "total": 0.6623702316284179,
155
+ "mean": 0.33118511581420895,
156
+ "stdev": 0.2573931312561035,
157
+ "p50": 0.33118511581420895,
158
+ "p90": 0.5370996208190918,
159
+ "p95": 0.5628389339447021,
160
+ "p99": 0.5834303844451904,
161
  "values": [
162
+ 0.5885782470703125,
163
+ 0.07379198455810547
164
  ]
165
  },
166
  "throughput": {
167
  "unit": "samples/s",
168
+ "value": 12.077837466113525
169
  },
170
  "energy": null,
171
  "efficiency": null
 
173
  "train": {
174
  "memory": {
175
  "unit": "MB",
176
+ "max_ram": 1930.407936,
177
+ "max_global_vram": 4374.421504,
178
+ "max_process_vram": 1713410.596864,
179
  "max_reserved": 3919.577088,
180
  "max_allocated": 3695.353344
181
  },
182
  "latency": {
183
  "unit": "s",
184
  "count": 3,
185
+ "total": 0.22007914733886716,
186
+ "mean": 0.07335971577962239,
187
+ "stdev": 0.00010722727512839993,
188
+ "p50": 0.07331166076660156,
189
+ "p90": 0.0734689727783203,
190
+ "p95": 0.07348863677978515,
191
+ "p99": 0.07350436798095702,
192
  "values": [
193
+ 0.07331166076660156,
194
+ 0.07350830078125,
195
+ 0.07325918579101562
196
  ]
197
  },
198
  "throughput": {
199
  "unit": "samples/s",
200
+ "value": 81.78875744317783
201
  },
202
  "energy": null,
203
  "efficiency": null