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
@@ -7,6 +7,7 @@
|
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
|
|
10 |
"model": "microsoft/deberta-v3-base",
|
11 |
"processor": "microsoft/deberta-v3-base",
|
12 |
"device": "cuda",
|
@@ -92,9 +93,9 @@
|
|
92 |
"gpu_vram_mb": 24146608128,
|
93 |
"optimum_benchmark_version": "0.3.1",
|
94 |
"optimum_benchmark_commit": null,
|
95 |
-
"transformers_version": "4.42.
|
96 |
"transformers_commit": null,
|
97 |
-
"accelerate_version": "0.
|
98 |
"accelerate_commit": null,
|
99 |
"diffusers_version": "0.29.2",
|
100 |
"diffusers_commit": null,
|
@@ -110,7 +111,7 @@
|
|
110 |
"overall": {
|
111 |
"memory": {
|
112 |
"unit": "MB",
|
113 |
-
"max_ram":
|
114 |
"max_global_vram": 4597.481472,
|
115 |
"max_process_vram": 0.0,
|
116 |
"max_reserved": 3948.937216,
|
@@ -119,24 +120,24 @@
|
|
119 |
"latency": {
|
120 |
"unit": "s",
|
121 |
"count": 5,
|
122 |
-
"total": 1.
|
123 |
-
"mean": 0.
|
124 |
-
"stdev": 0.
|
125 |
-
"p50": 0.
|
126 |
-
"p90": 0.
|
127 |
-
"p95": 0.
|
128 |
-
"p99": 0.
|
129 |
"values": [
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
-
0.
|
135 |
]
|
136 |
},
|
137 |
"throughput": {
|
138 |
"unit": "samples/s",
|
139 |
-
"value": 44.
|
140 |
},
|
141 |
"energy": null,
|
142 |
"efficiency": null
|
@@ -144,7 +145,7 @@
|
|
144 |
"warmup": {
|
145 |
"memory": {
|
146 |
"unit": "MB",
|
147 |
-
"max_ram":
|
148 |
"max_global_vram": 4597.481472,
|
149 |
"max_process_vram": 0.0,
|
150 |
"max_reserved": 3948.937216,
|
@@ -153,21 +154,21 @@
|
|
153 |
"latency": {
|
154 |
"unit": "s",
|
155 |
"count": 2,
|
156 |
-
"total": 0.
|
157 |
-
"mean": 0.
|
158 |
-
"stdev": 0.
|
159 |
-
"p50": 0.
|
160 |
-
"p90": 0.
|
161 |
-
"p95": 0.
|
162 |
-
"p99": 0.
|
163 |
"values": [
|
164 |
-
0.
|
165 |
-
0.
|
166 |
]
|
167 |
},
|
168 |
"throughput": {
|
169 |
"unit": "samples/s",
|
170 |
-
"value": 9.
|
171 |
},
|
172 |
"energy": null,
|
173 |
"efficiency": null
|
@@ -175,7 +176,7 @@
|
|
175 |
"train": {
|
176 |
"memory": {
|
177 |
"unit": "MB",
|
178 |
-
"max_ram":
|
179 |
"max_global_vram": 4597.481472,
|
180 |
"max_process_vram": 0.0,
|
181 |
"max_reserved": 3948.937216,
|
@@ -184,22 +185,22 @@
|
|
184 |
"latency": {
|
185 |
"unit": "s",
|
186 |
"count": 3,
|
187 |
-
"total": 0.
|
188 |
-
"mean": 0.
|
189 |
-
"stdev": 0.
|
190 |
-
"p50": 0.
|
191 |
-
"p90": 0.
|
192 |
-
"p95": 0.
|
193 |
-
"p99": 0.
|
194 |
"values": [
|
195 |
-
0.
|
196 |
-
0.
|
197 |
-
0.
|
198 |
]
|
199 |
},
|
200 |
"throughput": {
|
201 |
"unit": "samples/s",
|
202 |
-
"value": 70.
|
203 |
},
|
204 |
"energy": null,
|
205 |
"efficiency": null
|
|
|
7 |
"_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
|
8 |
"task": "token-classification",
|
9 |
"library": "transformers",
|
10 |
+
"model_type": "deberta-v2",
|
11 |
"model": "microsoft/deberta-v3-base",
|
12 |
"processor": "microsoft/deberta-v3-base",
|
13 |
"device": "cuda",
|
|
|
93 |
"gpu_vram_mb": 24146608128,
|
94 |
"optimum_benchmark_version": "0.3.1",
|
95 |
"optimum_benchmark_commit": null,
|
96 |
+
"transformers_version": "4.42.4",
|
97 |
"transformers_commit": null,
|
98 |
+
"accelerate_version": "0.32.1",
|
99 |
"accelerate_commit": null,
|
100 |
"diffusers_version": "0.29.2",
|
101 |
"diffusers_commit": null,
|
|
|
111 |
"overall": {
|
112 |
"memory": {
|
113 |
"unit": "MB",
|
114 |
+
"max_ram": 1162.543104,
|
115 |
"max_global_vram": 4597.481472,
|
116 |
"max_process_vram": 0.0,
|
117 |
"max_reserved": 3948.937216,
|
|
|
120 |
"latency": {
|
121 |
"unit": "s",
|
122 |
"count": 5,
|
123 |
+
"total": 1.1283620452880858,
|
124 |
+
"mean": 0.22567240905761715,
|
125 |
+
"stdev": 0.280765405597066,
|
126 |
+
"p50": 0.08537190246582031,
|
127 |
+
"p90": 0.5071255920410157,
|
128 |
+
"p95": 0.6471623138427733,
|
129 |
+
"p99": 0.7591916912841796,
|
130 |
"values": [
|
131 |
+
0.7871990356445312,
|
132 |
+
0.08701542663574219,
|
133 |
+
0.08537190246582031,
|
134 |
+
0.08359321594238281,
|
135 |
+
0.08518246459960938
|
136 |
]
|
137 |
},
|
138 |
"throughput": {
|
139 |
"unit": "samples/s",
|
140 |
+
"value": 44.31201865464585
|
141 |
},
|
142 |
"energy": null,
|
143 |
"efficiency": null
|
|
|
145 |
"warmup": {
|
146 |
"memory": {
|
147 |
"unit": "MB",
|
148 |
+
"max_ram": 1162.543104,
|
149 |
"max_global_vram": 4597.481472,
|
150 |
"max_process_vram": 0.0,
|
151 |
"max_reserved": 3948.937216,
|
|
|
154 |
"latency": {
|
155 |
"unit": "s",
|
156 |
"count": 2,
|
157 |
+
"total": 0.8742144622802734,
|
158 |
+
"mean": 0.4371072311401367,
|
159 |
+
"stdev": 0.35009180450439453,
|
160 |
+
"p50": 0.4371072311401367,
|
161 |
+
"p90": 0.7171806747436523,
|
162 |
+
"p95": 0.7521898551940918,
|
163 |
+
"p99": 0.7801971995544433,
|
164 |
"values": [
|
165 |
+
0.7871990356445312,
|
166 |
+
0.08701542663574219
|
167 |
]
|
168 |
},
|
169 |
"throughput": {
|
170 |
"unit": "samples/s",
|
171 |
+
"value": 9.151072585933951
|
172 |
},
|
173 |
"energy": null,
|
174 |
"efficiency": null
|
|
|
176 |
"train": {
|
177 |
"memory": {
|
178 |
"unit": "MB",
|
179 |
+
"max_ram": 1162.543104,
|
180 |
"max_global_vram": 4597.481472,
|
181 |
"max_process_vram": 0.0,
|
182 |
"max_reserved": 3948.937216,
|
|
|
185 |
"latency": {
|
186 |
"unit": "s",
|
187 |
"count": 3,
|
188 |
+
"total": 0.2541475830078125,
|
189 |
+
"mean": 0.08471586100260416,
|
190 |
+
"stdev": 0.0007975882917555056,
|
191 |
+
"p50": 0.08518246459960938,
|
192 |
+
"p90": 0.08533401489257812,
|
193 |
+
"p95": 0.08535295867919922,
|
194 |
+
"p99": 0.08536811370849609,
|
195 |
"values": [
|
196 |
+
0.08537190246582031,
|
197 |
+
0.08359321594238281,
|
198 |
+
0.08518246459960938
|
199 |
]
|
200 |
},
|
201 |
"throughput": {
|
202 |
"unit": "samples/s",
|
203 |
+
"value": 70.82498990142544
|
204 |
},
|
205 |
"energy": null,
|
206 |
"efficiency": null
|