Commit
•
2f09252
1
Parent(s):
1164cb8
Upload cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json with huggingface_hub
Browse files
cuda_training_transformers_fill-mask_google-bert/bert-base-uncased/benchmark.json
CHANGED
@@ -51,6 +51,7 @@
|
|
51 |
"per_device_train_batch_size": 2,
|
52 |
"gradient_accumulation_steps": 1,
|
53 |
"output_dir": "./trainer_output",
|
|
|
54 |
"eval_strategy": "no",
|
55 |
"save_strategy": "no",
|
56 |
"do_train": true,
|
@@ -90,7 +91,7 @@
|
|
90 |
"gpu_count": 1,
|
91 |
"gpu_vram_mb": 68702699520,
|
92 |
"optimum_benchmark_version": "0.2.1",
|
93 |
-
"optimum_benchmark_commit": "
|
94 |
"transformers_version": "4.42.3",
|
95 |
"transformers_commit": null,
|
96 |
"accelerate_version": "0.31.0",
|
@@ -109,33 +110,33 @@
|
|
109 |
"overall": {
|
110 |
"memory": {
|
111 |
"unit": "MB",
|
112 |
-
"max_ram": 1123.
|
113 |
-
"max_global_vram": 2953.
|
114 |
-
"max_process_vram":
|
115 |
"max_reserved": 2497.708032,
|
116 |
"max_allocated": 2195.345408
|
117 |
},
|
118 |
"latency": {
|
119 |
"unit": "s",
|
120 |
"count": 5,
|
121 |
-
"total": 0.
|
122 |
-
"mean": 0.
|
123 |
-
"stdev": 0.
|
124 |
-
"p50": 0.
|
125 |
-
"p90": 0.
|
126 |
-
"p95": 0.
|
127 |
-
"p99": 0.
|
128 |
"values": [
|
129 |
-
0.
|
130 |
-
0.
|
131 |
-
0.
|
132 |
-
0.
|
133 |
-
0.
|
134 |
]
|
135 |
},
|
136 |
"throughput": {
|
137 |
"unit": "samples/s",
|
138 |
-
"value":
|
139 |
},
|
140 |
"energy": null,
|
141 |
"efficiency": null
|
@@ -143,30 +144,30 @@
|
|
143 |
"warmup": {
|
144 |
"memory": {
|
145 |
"unit": "MB",
|
146 |
-
"max_ram": 1123.
|
147 |
-
"max_global_vram": 2953.
|
148 |
-
"max_process_vram":
|
149 |
"max_reserved": 2497.708032,
|
150 |
"max_allocated": 2195.345408
|
151 |
},
|
152 |
"latency": {
|
153 |
"unit": "s",
|
154 |
"count": 2,
|
155 |
-
"total": 0.
|
156 |
-
"mean": 0.
|
157 |
-
"stdev": 0.
|
158 |
-
"p50": 0.
|
159 |
-
"p90": 0.
|
160 |
-
"p95": 0.
|
161 |
-
"p99": 0.
|
162 |
"values": [
|
163 |
-
0.
|
164 |
-
0.
|
165 |
]
|
166 |
},
|
167 |
"throughput": {
|
168 |
"unit": "samples/s",
|
169 |
-
"value": 13.
|
170 |
},
|
171 |
"energy": null,
|
172 |
"efficiency": null
|
@@ -174,31 +175,31 @@
|
|
174 |
"train": {
|
175 |
"memory": {
|
176 |
"unit": "MB",
|
177 |
-
"max_ram": 1123.
|
178 |
-
"max_global_vram": 2953.
|
179 |
-
"max_process_vram":
|
180 |
"max_reserved": 2497.708032,
|
181 |
"max_allocated": 2195.345408
|
182 |
},
|
183 |
"latency": {
|
184 |
"unit": "s",
|
185 |
"count": 3,
|
186 |
-
"total": 0.
|
187 |
-
"mean": 0.
|
188 |
-
"stdev":
|
189 |
-
"p50": 0.
|
190 |
-
"p90": 0.
|
191 |
-
"p95": 0.
|
192 |
-
"p99": 0.
|
193 |
"values": [
|
194 |
-
0.
|
195 |
-
0.
|
196 |
-
0.
|
197 |
]
|
198 |
},
|
199 |
"throughput": {
|
200 |
"unit": "samples/s",
|
201 |
-
"value":
|
202 |
},
|
203 |
"energy": null,
|
204 |
"efficiency": null
|
|
|
51 |
"per_device_train_batch_size": 2,
|
52 |
"gradient_accumulation_steps": 1,
|
53 |
"output_dir": "./trainer_output",
|
54 |
+
"evaluation_strategy": "no",
|
55 |
"eval_strategy": "no",
|
56 |
"save_strategy": "no",
|
57 |
"do_train": true,
|
|
|
91 |
"gpu_count": 1,
|
92 |
"gpu_vram_mb": 68702699520,
|
93 |
"optimum_benchmark_version": "0.2.1",
|
94 |
+
"optimum_benchmark_commit": "3b8c49a169ebd79001b2a83fbf2b332612417102",
|
95 |
"transformers_version": "4.42.3",
|
96 |
"transformers_commit": null,
|
97 |
"accelerate_version": "0.31.0",
|
|
|
110 |
"overall": {
|
111 |
"memory": {
|
112 |
"unit": "MB",
|
113 |
+
"max_ram": 1123.639296,
|
114 |
+
"max_global_vram": 2953.224192,
|
115 |
+
"max_process_vram": 303171.424256,
|
116 |
"max_reserved": 2497.708032,
|
117 |
"max_allocated": 2195.345408
|
118 |
},
|
119 |
"latency": {
|
120 |
"unit": "s",
|
121 |
"count": 5,
|
122 |
+
"total": 0.7373482246398927,
|
123 |
+
"mean": 0.14746964492797854,
|
124 |
+
"stdev": 0.20911045742144815,
|
125 |
+
"p50": 0.042914344787597654,
|
126 |
+
"p90": 0.35672568664550786,
|
127 |
+
"p95": 0.4612080276489257,
|
128 |
+
"p99": 0.5447939004516602,
|
129 |
"values": [
|
130 |
+
0.5656903686523438,
|
131 |
+
0.04327866363525391,
|
132 |
+
0.04271114349365234,
|
133 |
+
0.04275370407104492,
|
134 |
+
0.042914344787597654
|
135 |
]
|
136 |
},
|
137 |
"throughput": {
|
138 |
"unit": "samples/s",
|
139 |
+
"value": 67.81056538709248
|
140 |
},
|
141 |
"energy": null,
|
142 |
"efficiency": null
|
|
|
144 |
"warmup": {
|
145 |
"memory": {
|
146 |
"unit": "MB",
|
147 |
+
"max_ram": 1123.639296,
|
148 |
+
"max_global_vram": 2953.224192,
|
149 |
+
"max_process_vram": 303171.424256,
|
150 |
"max_reserved": 2497.708032,
|
151 |
"max_allocated": 2195.345408
|
152 |
},
|
153 |
"latency": {
|
154 |
"unit": "s",
|
155 |
"count": 2,
|
156 |
+
"total": 0.6089690322875977,
|
157 |
+
"mean": 0.30448451614379884,
|
158 |
+
"stdev": 0.26120585250854494,
|
159 |
+
"p50": 0.30448451614379884,
|
160 |
+
"p90": 0.5134491981506348,
|
161 |
+
"p95": 0.5395697834014893,
|
162 |
+
"p99": 0.5604662516021729,
|
163 |
"values": [
|
164 |
+
0.5656903686523438,
|
165 |
+
0.04327866363525391
|
166 |
]
|
167 |
},
|
168 |
"throughput": {
|
169 |
"unit": "samples/s",
|
170 |
+
"value": 13.136957013968226
|
171 |
},
|
172 |
"energy": null,
|
173 |
"efficiency": null
|
|
|
175 |
"train": {
|
176 |
"memory": {
|
177 |
"unit": "MB",
|
178 |
+
"max_ram": 1123.639296,
|
179 |
+
"max_global_vram": 2953.224192,
|
180 |
+
"max_process_vram": 303171.424256,
|
181 |
"max_reserved": 2497.708032,
|
182 |
"max_allocated": 2195.345408
|
183 |
},
|
184 |
"latency": {
|
185 |
"unit": "s",
|
186 |
"count": 3,
|
187 |
+
"total": 0.12837919235229492,
|
188 |
+
"mean": 0.04279306411743164,
|
189 |
+
"stdev": 8.750086248693273e-05,
|
190 |
+
"p50": 0.04275370407104492,
|
191 |
+
"p90": 0.04288221664428711,
|
192 |
+
"p95": 0.04289828071594238,
|
193 |
+
"p99": 0.0429111319732666,
|
194 |
"values": [
|
195 |
+
0.04271114349365234,
|
196 |
+
0.04275370407104492,
|
197 |
+
0.042914344787597654
|
198 |
]
|
199 |
},
|
200 |
"throughput": {
|
201 |
"unit": "samples/s",
|
202 |
+
"value": 140.20963732662267
|
203 |
},
|
204 |
"energy": null,
|
205 |
"efficiency": null
|