IlyasMoutawwakil HF staff commited on
Commit
780126b
1 Parent(s): 6fadf3b

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",
@@ -91,10 +92,10 @@
91
  "gpu_count": 1,
92
  "gpu_vram_mb": 68702699520,
93
  "optimum_benchmark_version": "0.3.1",
94
- "optimum_benchmark_commit": "79990507b694d513bac81e140baff3af23a6bff7",
95
- "transformers_version": "4.42.3",
96
  "transformers_commit": null,
97
- "accelerate_version": "0.31.0",
98
  "accelerate_commit": null,
99
  "diffusers_version": "0.29.2",
100
  "diffusers_commit": null,
@@ -110,33 +111,33 @@
110
  "overall": {
111
  "memory": {
112
  "unit": "MB",
113
- "max_ram": 1143.021568,
114
- "max_global_vram": 68682.739712,
115
- "max_process_vram": 429804.040192,
116
  "max_reserved": 3919.577088,
117
  "max_allocated": 3695.353344
118
  },
119
  "latency": {
120
  "unit": "s",
121
  "count": 5,
122
- "total": 0.9497266845703125,
123
- "mean": 0.1899453369140625,
124
- "stdev": 0.23701181536950025,
125
- "p50": 0.07049093627929688,
126
- "p90": 0.42826245422363285,
127
- "p95": 0.546109651184082,
128
- "p99": 0.6403874087524414,
129
  "values": [
130
- 0.6639568481445313,
131
- 0.07472086334228516,
132
- 0.07025045776367188,
133
- 0.07030757904052734,
134
- 0.07049093627929688
135
  ]
136
  },
137
  "throughput": {
138
  "unit": "samples/s",
139
- "value": 52.646725434088054
140
  },
141
  "energy": null,
142
  "efficiency": null
@@ -144,30 +145,30 @@
144
  "warmup": {
145
  "memory": {
146
  "unit": "MB",
147
- "max_ram": 1143.021568,
148
- "max_global_vram": 68682.739712,
149
- "max_process_vram": 429804.040192,
150
  "max_reserved": 3919.577088,
151
  "max_allocated": 3695.353344
152
  },
153
  "latency": {
154
  "unit": "s",
155
  "count": 2,
156
- "total": 0.7386777114868164,
157
- "mean": 0.3693388557434082,
158
- "stdev": 0.2946179924011231,
159
- "p50": 0.3693388557434082,
160
- "p90": 0.6050332496643067,
161
- "p95": 0.6344950489044189,
162
- "p99": 0.6580644882965088,
163
  "values": [
164
- 0.6639568481445313,
165
- 0.07472086334228516
166
  ]
167
  },
168
  "throughput": {
169
  "unit": "samples/s",
170
- "value": 10.830162973101674
171
  },
172
  "energy": null,
173
  "efficiency": null
@@ -175,31 +176,31 @@
175
  "train": {
176
  "memory": {
177
  "unit": "MB",
178
- "max_ram": 1143.021568,
179
- "max_global_vram": 68682.739712,
180
- "max_process_vram": 429804.040192,
181
  "max_reserved": 3919.577088,
182
  "max_allocated": 3695.353344
183
  },
184
  "latency": {
185
  "unit": "s",
186
  "count": 3,
187
- "total": 0.21104897308349607,
188
- "mean": 0.07034965769449869,
189
- "stdev": 0.00010258472582645137,
190
- "p50": 0.07030757904052734,
191
- "p90": 0.07045426483154298,
192
- "p95": 0.07047260055541993,
193
- "p99": 0.0704872691345215,
194
  "values": [
195
- 0.07025045776367188,
196
- 0.07030757904052734,
197
- 0.07049093627929688
198
  ]
199
  },
200
  "throughput": {
201
  "unit": "samples/s",
202
- "value": 85.28826147322103
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",
 
92
  "gpu_count": 1,
93
  "gpu_vram_mb": 68702699520,
94
  "optimum_benchmark_version": "0.3.1",
95
+ "optimum_benchmark_commit": "73dd36ea04ff1cc8259f4039b6f9d56dfb9eecd1",
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": 1147.142144,
115
+ "max_global_vram": 4373.254144,
116
+ "max_process_vram": 362908.372992,
117
  "max_reserved": 3919.577088,
118
  "max_allocated": 3695.353344
119
  },
120
  "latency": {
121
  "unit": "s",
122
  "count": 5,
123
+ "total": 0.8609348907470704,
124
+ "mean": 0.17218697814941408,
125
+ "stdev": 0.20110891278105236,
126
+ "p50": 0.07148131561279297,
127
+ "p90": 0.3736695404052735,
128
+ "p95": 0.4740365524291992,
129
+ "p99": 0.5543301620483398,
130
  "values": [
131
+ 0.574403564453125,
132
+ 0.0725685043334961,
133
+ 0.0713825912475586,
134
+ 0.07109891510009765,
135
+ 0.07148131561279297
136
  ]
137
  },
138
  "throughput": {
139
  "unit": "samples/s",
140
+ "value": 58.076401058171584
141
  },
142
  "energy": null,
143
  "efficiency": null
 
145
  "warmup": {
146
  "memory": {
147
  "unit": "MB",
148
+ "max_ram": 1147.142144,
149
+ "max_global_vram": 4373.254144,
150
+ "max_process_vram": 362908.372992,
151
  "max_reserved": 3919.577088,
152
  "max_allocated": 3695.353344
153
  },
154
  "latency": {
155
  "unit": "s",
156
  "count": 2,
157
+ "total": 0.6469720687866212,
158
+ "mean": 0.3234860343933106,
159
+ "stdev": 0.2509175300598145,
160
+ "p50": 0.3234860343933106,
161
+ "p90": 0.5242200584411622,
162
+ "p95": 0.5493118114471436,
163
+ "p99": 0.5693852138519288,
164
  "values": [
165
+ 0.574403564453125,
166
+ 0.0725685043334961
167
  ]
168
  },
169
  "throughput": {
170
  "unit": "samples/s",
171
+ "value": 12.365294246788407
172
  },
173
  "energy": null,
174
  "efficiency": null
 
176
  "train": {
177
  "memory": {
178
  "unit": "MB",
179
+ "max_ram": 1147.142144,
180
+ "max_global_vram": 4373.254144,
181
+ "max_process_vram": 362908.372992,
182
  "max_reserved": 3919.577088,
183
  "max_allocated": 3695.353344
184
  },
185
  "latency": {
186
  "unit": "s",
187
  "count": 3,
188
+ "total": 0.21396282196044922,
189
+ "mean": 0.07132094065348307,
190
+ "stdev": 0.00016208667401488162,
191
+ "p50": 0.0713825912475586,
192
+ "p90": 0.0714615707397461,
193
+ "p95": 0.07147144317626954,
194
+ "p99": 0.07147934112548829,
195
  "values": [
196
+ 0.0713825912475586,
197
+ 0.07109891510009765,
198
+ 0.07148131561279297
199
  ]
200
  },
201
  "throughput": {
202
  "unit": "samples/s",
203
+ "value": 84.12676480462237
204
  },
205
  "energy": null,
206
  "efficiency": null