IlyasMoutawwakil HF Staff commited on
Commit
fa06698
·
verified ·
1 Parent(s): 30ab6c2

Upload cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark.json with huggingface_hub

Browse files
cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM/benchmark.json CHANGED
@@ -3,7 +3,7 @@
3
  "name": "cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM",
4
  "backend": {
5
  "name": "pytorch",
6
- "version": "2.8.0+cu128",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "model": "hf-internal-testing/tiny-random-LlamaForCausalLM",
9
  "processor": "hf-internal-testing/tiny-random-LlamaForCausalLM",
@@ -80,12 +80,12 @@
80
  "environment": {
81
  "cpu": " AMD EPYC 7R32",
82
  "cpu_count": 16,
83
- "cpu_ram_mb": 66697.240576,
84
  "system": "Linux",
85
  "machine": "x86_64",
86
  "platform": "Linux-5.10.240-238.959.amzn2.x86_64-x86_64-with-glibc2.35",
87
  "processor": "x86_64",
88
- "python_version": "3.10.12",
89
  "gpu": [
90
  "NVIDIA A10G"
91
  ],
@@ -93,7 +93,7 @@
93
  "gpu_vram_mb": 24146608128,
94
  "optimum_benchmark_version": "0.6.0.dev0",
95
  "optimum_benchmark_commit": null,
96
- "transformers_version": "4.55.2",
97
  "transformers_commit": null,
98
  "accelerate_version": "1.10.0",
99
  "accelerate_commit": null,
@@ -103,7 +103,7 @@
103
  "optimum_commit": null,
104
  "timm_version": "1.0.19",
105
  "timm_commit": null,
106
- "peft_version": null,
107
  "peft_commit": null
108
  },
109
  "print_report": true,
@@ -113,75 +113,75 @@
113
  "overall": {
114
  "memory": {
115
  "unit": "MB",
116
- "max_ram": 1538.752512,
117
  "max_global_vram": 720.896,
118
  "max_process_vram": 0.0,
119
  "max_reserved": 65.011712,
120
- "max_allocated": 42.18368
121
  },
122
  "latency": {
123
  "unit": "s",
124
  "values": [
125
- 0.24844288635253906,
126
- 0.010046463966369629,
127
- 0.009235456466674804,
128
- 0.008969216346740723,
129
- 0.0087326717376709
130
  ],
131
  "count": 5,
132
- "total": 0.2854266948699951,
133
- "mean": 0.05708533897399902,
134
- "p50": 0.009235456466674804,
135
- "p90": 0.15308431739807132,
136
- "p95": 0.20076360187530512,
137
- "p99": 0.23890702945709227,
138
- "stdev": 0.09567979895696557,
139
- "stdev_": 167.6083573762177
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
- "value": 175.1763268771121
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
- "cpu": 6.704285112500467e-06,
148
- "ram": 3.6728397629336355e-06,
149
- "gpu": 9.872785676000133e-06,
150
- "total": 2.0249910551434235e-05
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
- "value": 493829.34184327704
155
  }
156
  },
157
  "warmup": {
158
  "memory": {
159
  "unit": "MB",
160
- "max_ram": 1538.752512,
161
  "max_global_vram": 720.896,
162
  "max_process_vram": 0.0,
163
  "max_reserved": 65.011712,
164
- "max_allocated": 42.18368
165
  },
166
  "latency": {
167
  "unit": "s",
168
  "values": [
169
- 0.24844288635253906,
170
- 0.010046463966369629
171
  ],
172
  "count": 2,
173
- "total": 0.2584893503189087,
174
- "mean": 0.12924467515945434,
175
- "p50": 0.12924467515945434,
176
- "p90": 0.22460324411392213,
177
- "p95": 0.23652306523323058,
178
- "p99": 0.24605892212867736,
179
- "stdev": 0.11919821119308471,
180
- "stdev_": 92.22678694191858
181
  },
182
  "throughput": {
183
  "unit": "samples/s",
184
- "value": 30.94905066738757
185
  },
186
  "energy": null,
187
  "efficiency": null
@@ -189,32 +189,32 @@
189
  "train": {
190
  "memory": {
191
  "unit": "MB",
192
- "max_ram": 1538.752512,
193
  "max_global_vram": 720.896,
194
  "max_process_vram": 0.0,
195
  "max_reserved": 65.011712,
196
- "max_allocated": 42.18368
197
  },
198
  "latency": {
199
  "unit": "s",
200
  "values": [
201
- 0.009235456466674804,
202
- 0.008969216346740723,
203
- 0.0087326717376709
204
  ],
205
  "count": 3,
206
- "total": 0.02693734455108643,
207
- "mean": 0.008979114850362143,
208
- "p50": 0.008969216346740723,
209
- "p90": 0.009182208442687988,
210
- "p95": 0.009208832454681397,
211
- "p99": 0.009230131664276123,
212
- "stdev": 0.00020538030773882226,
213
- "stdev_": 2.2873112902719908
214
  },
215
  "throughput": {
216
  "unit": "samples/s",
217
- "value": 668.217313175141
218
  },
219
  "energy": null,
220
  "efficiency": null
 
3
  "name": "cuda_training_transformers_text-generation_hf-internal-testing/tiny-random-LlamaForCausalLM",
4
  "backend": {
5
  "name": "pytorch",
6
+ "version": "2.8.0",
7
  "_target_": "optimum_benchmark.backends.pytorch.backend.PyTorchBackend",
8
  "model": "hf-internal-testing/tiny-random-LlamaForCausalLM",
9
  "processor": "hf-internal-testing/tiny-random-LlamaForCausalLM",
 
80
  "environment": {
81
  "cpu": " AMD EPYC 7R32",
82
  "cpu_count": 16,
83
+ "cpu_ram_mb": 66697.248768,
84
  "system": "Linux",
85
  "machine": "x86_64",
86
  "platform": "Linux-5.10.240-238.959.amzn2.x86_64-x86_64-with-glibc2.35",
87
  "processor": "x86_64",
88
+ "python_version": "3.10.18",
89
  "gpu": [
90
  "NVIDIA A10G"
91
  ],
 
93
  "gpu_vram_mb": 24146608128,
94
  "optimum_benchmark_version": "0.6.0.dev0",
95
  "optimum_benchmark_commit": null,
96
+ "transformers_version": "4.52.4",
97
  "transformers_commit": null,
98
  "accelerate_version": "1.10.0",
99
  "accelerate_commit": null,
 
103
  "optimum_commit": null,
104
  "timm_version": "1.0.19",
105
  "timm_commit": null,
106
+ "peft_version": "0.17.0",
107
  "peft_commit": null
108
  },
109
  "print_report": true,
 
113
  "overall": {
114
  "memory": {
115
  "unit": "MB",
116
+ "max_ram": 1586.307072,
117
  "max_global_vram": 720.896,
118
  "max_process_vram": 0.0,
119
  "max_reserved": 65.011712,
120
+ "max_allocated": 42.172928
121
  },
122
  "latency": {
123
  "unit": "s",
124
  "values": [
125
+ 0.2943692932128906,
126
+ 0.009220095634460449,
127
+ 0.008275967597961426,
128
+ 0.008241151809692383,
129
+ 0.008268799781799317
130
  ],
131
  "count": 5,
132
+ "total": 0.32837530803680426,
133
+ "mean": 0.06567506160736085,
134
+ "p50": 0.008275967597961426,
135
+ "p90": 0.18030961418151858,
136
+ "p95": 0.23733945369720455,
137
+ "p99": 0.28296332530975343,
138
+ "stdev": 0.11434771850559726,
139
+ "stdev_": 174.11132278676263
140
  },
141
  "throughput": {
142
  "unit": "samples/s",
143
+ "value": 152.264798163192
144
  },
145
  "energy": {
146
  "unit": "kWh",
147
+ "cpu": 6.759366175000084e-06,
148
+ "ram": 3.179594461111101e-06,
149
+ "gpu": 1.0571675123999692e-05,
150
+ "total": 2.0510635760110876e-05
151
  },
152
  "efficiency": {
153
  "unit": "samples/kWh",
154
+ "value": 487551.9275442461
155
  }
156
  },
157
  "warmup": {
158
  "memory": {
159
  "unit": "MB",
160
+ "max_ram": 1586.307072,
161
  "max_global_vram": 720.896,
162
  "max_process_vram": 0.0,
163
  "max_reserved": 65.011712,
164
+ "max_allocated": 42.172928
165
  },
166
  "latency": {
167
  "unit": "s",
168
  "values": [
169
+ 0.2943692932128906,
170
+ 0.009220095634460449
171
  ],
172
  "count": 2,
173
+ "total": 0.3035893888473511,
174
+ "mean": 0.15179469442367555,
175
+ "p50": 0.15179469442367555,
176
+ "p90": 0.2658543734550476,
177
+ "p95": 0.2801118333339691,
178
+ "p99": 0.2915178012371063,
179
+ "stdev": 0.14257459878921508,
180
+ "stdev_": 93.92594341359114
181
  },
182
  "throughput": {
183
  "unit": "samples/s",
184
+ "value": 26.35138214274844
185
  },
186
  "energy": null,
187
  "efficiency": null
 
189
  "train": {
190
  "memory": {
191
  "unit": "MB",
192
+ "max_ram": 1586.307072,
193
  "max_global_vram": 720.896,
194
  "max_process_vram": 0.0,
195
  "max_reserved": 65.011712,
196
+ "max_allocated": 42.172928
197
  },
198
  "latency": {
199
  "unit": "s",
200
  "values": [
201
+ 0.008275967597961426,
202
+ 0.008241151809692383,
203
+ 0.008268799781799317
204
  ],
205
  "count": 3,
206
+ "total": 0.024785919189453127,
207
+ "mean": 0.008261973063151042,
208
+ "p50": 0.008268799781799317,
209
+ "p90": 0.008274534034729004,
210
+ "p95": 0.008275250816345215,
211
+ "p99": 0.008275824241638183,
212
+ "stdev": 1.5010837059176696e-05,
213
+ "stdev_": 0.18168586298260936
214
  },
215
  "throughput": {
216
  "unit": "samples/s",
217
+ "value": 726.2187802040175
218
  },
219
  "energy": null,
220
  "efficiency": null