AwAppp commited on
Commit
2b539c0
·
verified ·
1 Parent(s): a743e34

Upload TextGenerationReport

Browse files
Files changed (2) hide show
  1. README.md +199 -0
  2. benchmark_report.json +230 -0
README.md ADDED
@@ -0,0 +1,199 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags: []
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
benchmark_report.json ADDED
@@ -0,0 +1,230 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "prefill": {
3
+ "memory": {
4
+ "unit": "MB",
5
+ "max_ram": 3452.55936,
6
+ "max_vram": 5985.271808,
7
+ "max_reserved": 5500.829696,
8
+ "max_allocated": 5277.432832
9
+ },
10
+ "latency": {
11
+ "unit": "s",
12
+ "mean": 0.14864961130478807,
13
+ "stdev": 0.00020932099247040743,
14
+ "values": [
15
+ 0.1501033935546875,
16
+ 0.14921522521972655,
17
+ 0.14923980712890625,
18
+ 0.1486120910644531,
19
+ 0.1485875244140625,
20
+ 0.14857522583007812,
21
+ 0.1486120910644531,
22
+ 0.14858956909179688,
23
+ 0.14857626342773436,
24
+ 0.1485946807861328,
25
+ 0.1486069793701172,
26
+ 0.14863360595703126,
27
+ 0.14859980773925782,
28
+ 0.14859059143066405,
29
+ 0.1485803527832031,
30
+ 0.1486049346923828,
31
+ 0.1485701141357422,
32
+ 0.1487626190185547,
33
+ 0.1486182403564453,
34
+ 0.14862950134277345,
35
+ 0.14853631591796876,
36
+ 0.14859056091308595,
37
+ 0.14861619567871093,
38
+ 0.14861004638671876,
39
+ 0.14859776306152345,
40
+ 0.14856396484375,
41
+ 0.1485875244140625,
42
+ 0.1485865020751953,
43
+ 0.148600830078125,
44
+ 0.1486254119873047,
45
+ 0.14860389709472657,
46
+ 0.14863462829589844,
47
+ 0.14862643432617187,
48
+ 0.14873599243164062,
49
+ 0.1486131134033203,
50
+ 0.14856806945800782,
51
+ 0.14859263610839843,
52
+ 0.14857830810546874,
53
+ 0.14856704711914062,
54
+ 0.14861415100097655,
55
+ 0.14859878540039062,
56
+ 0.14859980773925782,
57
+ 0.1486018524169922,
58
+ 0.14859980773925782,
59
+ 0.14864076232910156,
60
+ 0.14862028503417968,
61
+ 0.14859878540039062,
62
+ 0.14859674072265625,
63
+ 0.14863871765136719,
64
+ 0.14862232971191405,
65
+ 0.148600830078125,
66
+ 0.1486684112548828,
67
+ 0.14858854675292968,
68
+ 0.14857113647460937,
69
+ 0.14853018188476563,
70
+ 0.14864178466796876,
71
+ 0.1486182403564453,
72
+ 0.14864582824707032,
73
+ 0.14861106872558594,
74
+ 0.14861619567871093,
75
+ 0.14862950134277345,
76
+ 0.148642822265625,
77
+ 0.14871859741210938,
78
+ 0.14860389709472657,
79
+ 0.1486069793701172,
80
+ 0.1486192626953125,
81
+ 0.14860389709472657,
82
+ 0.1485865020751953
83
+ ]
84
+ },
85
+ "throughput": {
86
+ "unit": "tokens/s",
87
+ "value": 538.1783329118141
88
+ },
89
+ "energy": null,
90
+ "efficiency": null
91
+ },
92
+ "decode": {
93
+ "memory": {
94
+ "unit": "MB",
95
+ "max_ram": 3452.55936,
96
+ "max_vram": 6153.043968,
97
+ "max_reserved": 5668.601856,
98
+ "max_allocated": 5461.697536
99
+ },
100
+ "latency": {
101
+ "unit": "s",
102
+ "mean": 13.483782165527336,
103
+ "stdev": 0,
104
+ "values": [
105
+ 13.483782165527336
106
+ ]
107
+ },
108
+ "throughput": {
109
+ "unit": "tokens/s",
110
+ "value": 36.71076808593942
111
+ },
112
+ "energy": null,
113
+ "efficiency": null
114
+ },
115
+ "per_token": {
116
+ "memory": null,
117
+ "latency": {
118
+ "unit": "s",
119
+ "mean": 0.13619981985381147,
120
+ "stdev": 0.000452258433880561,
121
+ "values": [
122
+ 0.1354967041015625,
123
+ 0.13573324584960939,
124
+ 0.1356011505126953,
125
+ 0.13553663635253907,
126
+ 0.13552537536621093,
127
+ 0.13557145690917968,
128
+ 0.13561138916015625,
129
+ 0.13565440368652343,
130
+ 0.13559808349609376,
131
+ 0.13561549377441406,
132
+ 0.13564723205566406,
133
+ 0.13561549377441406,
134
+ 0.13562777709960938,
135
+ 0.13564723205566406,
136
+ 0.1356759033203125,
137
+ 0.13565338134765625,
138
+ 0.13569126892089844,
139
+ 0.1357127685546875,
140
+ 0.13578956604003906,
141
+ 0.1358008270263672,
142
+ 0.13584281921386718,
143
+ 0.1357445068359375,
144
+ 0.13585305786132812,
145
+ 0.13578034973144532,
146
+ 0.13579673767089845,
147
+ 0.13576089477539063,
148
+ 0.13585101318359374,
149
+ 0.1358551025390625,
150
+ 0.13593190002441408,
151
+ 0.13583258056640626,
152
+ 0.13583973693847656,
153
+ 0.1358561248779297,
154
+ 0.13588275146484374,
155
+ 0.1358233642578125,
156
+ 0.13594419860839843,
157
+ 0.135878662109375,
158
+ 0.135947265625,
159
+ 0.13588275146484374,
160
+ 0.13594522094726563,
161
+ 0.13590322875976563,
162
+ 0.13600460815429688,
163
+ 0.13590118408203125,
164
+ 0.1360230407714844,
165
+ 0.13603532409667968,
166
+ 0.13604454040527345,
167
+ 0.13600973510742187,
168
+ 0.13606297302246093,
169
+ 0.13602508544921876,
170
+ 0.1360885772705078,
171
+ 0.13615513610839844,
172
+ 0.1361459197998047,
173
+ 0.13616128540039063,
174
+ 0.13614898681640625,
175
+ 0.13620223999023437,
176
+ 0.13623193359375,
177
+ 0.13624114990234376,
178
+ 0.13626162719726562,
179
+ 0.13628416442871094,
180
+ 0.13632511901855468,
181
+ 0.13637017822265626,
182
+ 0.13639474487304687,
183
+ 0.13638758850097657,
184
+ 0.1363783721923828,
185
+ 0.1364602813720703,
186
+ 0.13640396118164064,
187
+ 0.13648486328125,
188
+ 0.13642547607421876,
189
+ 0.13651968383789062,
190
+ 0.13646234130859375,
191
+ 0.13649305725097657,
192
+ 0.1365708770751953,
193
+ 0.13669888305664063,
194
+ 0.13656474304199218,
195
+ 0.1365606384277344,
196
+ 0.13659341430664063,
197
+ 0.1367060546875,
198
+ 0.13661900329589843,
199
+ 0.13661900329589843,
200
+ 0.13664767456054688,
201
+ 0.13676646423339844,
202
+ 0.13667225646972656,
203
+ 0.13671218872070312,
204
+ 0.13672550964355468,
205
+ 0.13682073974609374,
206
+ 0.13676133728027343,
207
+ 0.1367316436767578,
208
+ 0.1367736358642578,
209
+ 0.1369169921875,
210
+ 0.1368299560546875,
211
+ 0.1367930908203125,
212
+ 0.13684326171875,
213
+ 0.13699276733398438,
214
+ 0.13689138793945313,
215
+ 0.13688934326171875,
216
+ 0.13688217163085936,
217
+ 0.13704806518554688,
218
+ 0.1370408935546875,
219
+ 0.13696000671386718,
220
+ 0.137059326171875
221
+ ]
222
+ },
223
+ "throughput": {
224
+ "unit": "tokens/s",
225
+ "value": 36.71076808593942
226
+ },
227
+ "energy": null,
228
+ "efficiency": null
229
+ }
230
+ }