IlyasMoutawwakil HF staff commited on
Commit
65311f9
·
verified ·
1 Parent(s): aea3f88

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
@@ -91,7 +91,7 @@
91
  "gpu_count": 1,
92
  "gpu_vram_mb": 68702699520,
93
  "optimum_benchmark_version": "0.3.1",
94
- "optimum_benchmark_commit": "16c37a2d0a7e1a726b6a2a50e2fbcf32df3b575c",
95
  "transformers_version": "4.43.3",
96
  "transformers_commit": null,
97
  "accelerate_version": "0.33.0",
@@ -110,33 +110,33 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1150.754816,
114
- "max_global_vram": 4373.213184,
115
- "max_process_vram": 448610.172928,
116
  "max_reserved": 3919.577088,
117
  "max_allocated": 3695.353344
118
  },
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.8079061889648437,
123
- "mean": 0.16158123779296873,
124
- "stdev": 0.1831018895625412,
125
- "p50": 0.0698906021118164,
126
- "p90": 0.34512545471191414,
127
- "p95": 0.43645429840087885,
128
- "p99": 0.5095173733520508,
129
  "values": [
130
- 0.5277831420898438,
131
- 0.07113892364501953,
132
- 0.0698906021118164,
133
- 0.06955764007568359,
134
- 0.06953588104248047
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 61.888373530179464
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,30 +144,30 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1150.754816,
148
- "max_global_vram": 4373.213184,
149
- "max_process_vram": 448610.172928,
150
  "max_reserved": 3919.577088,
151
  "max_allocated": 3695.353344
152
  },
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.5989220657348633,
157
- "mean": 0.29946103286743164,
158
- "stdev": 0.22832210922241214,
159
- "p50": 0.29946103286743164,
160
- "p90": 0.48211872024536134,
161
- "p95": 0.5049509311676026,
162
- "p99": 0.5232166999053955,
163
  "values": [
164
- 0.5277831420898438,
165
- 0.07113892364501953
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 13.357330540467212
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,31 +175,31 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1150.754816,
179
- "max_global_vram": 4373.213184,
180
- "max_process_vram": 448610.172928,
181
  "max_reserved": 3919.577088,
182
  "max_allocated": 3695.353344
183
  },
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.20898412322998045,
188
- "mean": 0.06966137440999348,
189
- "stdev": 0.00016233169405827555,
190
- "p50": 0.06955764007568359,
191
- "p90": 0.06982400970458984,
192
- "p95": 0.06985730590820312,
193
- "p99": 0.06988394287109374,
194
  "values": [
195
- 0.0698906021118164,
196
- 0.06955764007568359,
197
- 0.06953588104248047
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 86.13094488614126
203
  },
204
  "energy": null,
205
  "efficiency": null
 
91
  "gpu_count": 1,
92
  "gpu_vram_mb": 68702699520,
93
  "optimum_benchmark_version": "0.3.1",
94
+ "optimum_benchmark_commit": "91971089040d6dac4da0f6b0a30eec8415a34544",
95
  "transformers_version": "4.43.3",
96
  "transformers_commit": null,
97
  "accelerate_version": "0.33.0",
 
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
+ "max_ram": 1155.735552,
114
+ "max_global_vram": 4373.23776,
115
+ "max_process_vram": 454426.464256,
116
  "max_reserved": 3919.577088,
117
  "max_allocated": 3695.353344
118
  },
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
+ "total": 0.8014761276245118,
123
+ "mean": 0.16029522552490236,
124
+ "stdev": 0.17289329844101112,
125
+ "p50": 0.0718244857788086,
126
+ "p90": 0.33595749206542974,
127
+ "p95": 0.42098149261474604,
128
+ "p99": 0.48900069305419924,
129
  "values": [
130
+ 0.5060054931640625,
131
+ 0.07108145141601563,
132
+ 0.08088549041748047,
133
+ 0.0718244857788086,
134
+ 0.07167920684814454
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
+ "value": 62.38488992578553
140
  },
141
  "energy": null,
142
  "efficiency": null
 
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
+ "max_ram": 1155.735552,
148
+ "max_global_vram": 4373.23776,
149
+ "max_process_vram": 454426.464256,
150
  "max_reserved": 3919.577088,
151
  "max_allocated": 3695.353344
152
  },
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
+ "total": 0.5770869445800781,
157
+ "mean": 0.28854347229003907,
158
+ "stdev": 0.21746202087402344,
159
+ "p50": 0.28854347229003907,
160
+ "p90": 0.46251308898925786,
161
+ "p95": 0.48425929107666016,
162
+ "p99": 0.501656252746582,
163
  "values": [
164
+ 0.5060054931640625,
165
+ 0.07108145141601563
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
+ "value": 13.862729134898837
171
  },
172
  "energy": null,
173
  "efficiency": null
 
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
+ "max_ram": 1155.735552,
179
+ "max_global_vram": 4373.23776,
180
+ "max_process_vram": 454426.464256,
181
  "max_reserved": 3919.577088,
182
  "max_allocated": 3695.353344
183
  },
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
+ "total": 0.22438918304443362,
188
+ "mean": 0.07479639434814454,
189
+ "stdev": 0.004306049597030167,
190
+ "p50": 0.0718244857788086,
191
+ "p90": 0.0790732894897461,
192
+ "p95": 0.07997938995361328,
193
+ "p99": 0.08070427032470703,
194
  "values": [
195
+ 0.08088549041748047,
196
+ 0.0718244857788086,
197
+ 0.07167920684814454
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
+ "value": 80.21777055285072
203
  },
204
  "energy": null,
205
  "efficiency": null