FINGU-AI commited on
Commit
6132152
1 Parent(s): 3fdf0e4

Upload folder using huggingface_hub

Browse files
.ipynb_checkpoints/README-checkpoint.md ADDED
@@ -0,0 +1,597 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/mpnet-base
3
+ datasets:
4
+ - mteb/askubuntudupquestions-reranking
5
+ - mteb/mind_small
6
+ - mteb/scidocs-reranking
7
+ - mteb/stackoverflowdupquestions-reranking
8
+ - mteb/arguana
9
+ - mteb/climate-fever
10
+ - mteb/cqadupstack-android
11
+ - mteb/cqadupstack-english
12
+ - mteb/biosses-sts
13
+ - mteb/sickr-sts
14
+ - mteb/sts12-sts
15
+ - mteb/sts13-sts
16
+ language:
17
+ - en
18
+ library_name: sentence-transformers
19
+ pipeline_tag: sentence-similarity
20
+ tags:
21
+ - sentence-transformers
22
+ - sentence-similarity
23
+ - feature-extraction
24
+ - generated_from_trainer
25
+ - dataset_size:5130135
26
+ - loss:MultipleNegativesSymmetricRankingLoss
27
+ - loss:CoSENTLoss
28
+ - dataset_size:8233
29
+ widget:
30
+ - source_sentence: "This is a sample source sentence." # Ensure this is not empty
31
+ target_sentence: "This is a sample target sentence." # Ensure this is not empty
32
+ sentences:
33
+ - Broadband is a necessary evolution of internet technology that firms would be
34
+ wise to avail of if they wish to remain competitive. But it is this very desirability
35
+ that makes the provision of broadband a lucrative business in which many firms
36
+ participate. Business on a large scale is rarely organised in diffuse patterns,
37
+ but clustered in major population centres. Economic development can be furnished
38
+ by the private sector investing in broadband where there is a market. Growth will
39
+ not be slowed just because some farmers in Nebraska have slower internet. Singapore
40
+ is an aberrant example, as it is so small and its population so dense that it
41
+ would be impossible to compare its provision of broadband access to most other
42
+ countries.
43
+ - 'In retrospect, the decision to welcome the former Soviet states in the Baltic
44
+ into NATO appears foolish. They continue to have a prickly relationship with Russia,
45
+ which has some legitimate concerns about the treatment of large Russian minorities
46
+ in Latvia and Estonia, and about the siting of US nuclear defences. Their entry
47
+ into NATO was forced upon Russia, which naturally saw it as an aggressive move
48
+ designed to humiliate it, and marked the point when its pro-western policy shifted
49
+ to a more nationalist and confrontational approach. [1] It also weakened the unity
50
+ of NATO as there are quite legitimate doubts as to whether all the alliance’s
51
+ members would really go to war with Russia over the integrity of, say, Estonia.
52
+ Given this history, it would be madness to compound the problem by extending NATO
53
+ membership to Georgia and Ukraine. [1] Fraser, Malcolm, ‘Ukraine: there’s no
54
+ way out unless the west understands its past mistakes’, theguardian.com, 3 March
55
+ 2014,'
56
+ - 'We need to be critical of the cumulative potential of the tax model proposed.
57
+ Firstly, the theory of the state’s capacity and how it functions in practice differ
58
+ substantially. The idea of taxation acting to enhance the productive capacity
59
+ of a nation is based on assumptions that the institutions, human resources, and
60
+ state-capacity, are already present. This is not always the case in Africa. Corruption
61
+ and bad governance are prevalent. Reforms in 1996 to curb corruption in the TRA
62
+ were reversed due to misunderstanding the nature of corruption amongst tax officials
63
+ and administration (Fjelstad, 2003). Tax-revenue performance remains comparatively
64
+ low [1] , there is little reason to simply altering what taxes there are will
65
+ change this. Finally, alternative methods can be used to assist rural infrastructure
66
+ projects, and enable national savings. For example, revising the role of agricultural
67
+ marketing boards [2] . [1] See further readings: Gray and Kahn, 2010. [2] See
68
+ further readings: Baffes, 2005.'
69
+ - source_sentence: advantages/disadvantages of installing from source code
70
+ sentences:
71
+ - 'is it there any advantage to unticking the `` source code '''' entry of a repository
72
+ ? what is the advantage to build unity from source ffmpeg : installing from repository
73
+ or compiling from source ?'
74
+ - 'flash player issues flash player alternative for firefox flash videos go fullscreen
75
+ once ( firefox ) , then after minimising it and trying to go fullscreen again
76
+ it freezes ( ubuntu 14.04 , gnome desktop ) choppy flash video playback , ''settings
77
+ '' disabled for flash as well flash player is not working and do n''t know what
78
+ to do to fix it flash player : sound distorted error flash chrome in ubuntu 14.04'
79
+ - how to install newest version of minitube from source installing two version of
80
+ a software how to find source for a line in $ path ? how do i install network
81
+ driver source code to /lib/modules/ < kernel version > /build/drivers/net/ethernet
82
+ ca n't install vmware-view-client from partner repo in saucy why apt-get does
83
+ n't install the newest software what is the right way to reinstall from source
84
+ after package was installed via apt ? do i have to remove open drivers to switch
85
+ to fglrx ? how do i install clang version 3 in 10.10 ? adding extract tool to
86
+ nautilus ( compiled from source code ) how to point to boost built from source
87
+ how to remove httpd built from source if i build a package from source how can
88
+ i uninstall or remove completely ? avoid reinstall virtualbox and update to the
89
+ latest release installing only ruby 1.9 can i update software installed from source
90
+ code directly determine which package ( s ) were installed from a particular source
91
+ - source_sentence: will i be able to upgrade to 13.04 from 12.10 with a wubi installation
92
+ ?
93
+ sentences:
94
+ - add cron job on startup from a script
95
+ - upgrading from 12.10 wubi install to 13.04 can i safely upgrade ubuntu 12.10 to
96
+ 13.04 which installed using wubi ? will i be able to use wubi to install ubuntu
97
+ releases newer than 12.10 ? installing ubuntu in windows 8 with wubi
98
+ - upgrade from ubuntu server 12.10 to 13.04 wubi after upgrading windows 7 to windows
99
+ 8 should i use wubi ubuntu 12.04 for my academic studies like writing docs , programming
100
+ , etc ? how to do a fresh re-installation of ubuntu safely on dual boot ? wubi
101
+ 12.10 installation on windows 8 hangs do i keep my windows installation if i install
102
+ ubuntu with wubi , the windows installer ? move wubi installation of ubuntu to
103
+ a different partition in windows failed why was wubi removed from 13.04+ backup
104
+ , install and restore programms/settings of ubuntu ( wubi ) installation unable
105
+ to install ubuntu 12.10 with wubi in windows 7 - wubi is stuck upgrading my wubi
106
+ 11.04 to 11.10 no additional driver no usb or dvd drive and not able to migrate
107
+ wubi ( no clue ) how can i remove windows and upgrade wubi install to a full install
108
+ without a cd or usb stick ? upgrade ubuntu to 13.04 from 12.10 on dual-boot laptop
109
+ upgrading ubuntu 12.10 to 13.04 using bootable usb alongside windows 7
110
+ - source_sentence: how do i use ubuntu 's web application integration ?
111
+ sentences:
112
+ - out of the box ubuntu 13.04 with chromium does not automatically use web apps
113
+ - why i do not have gnome shell with gnome 3 ? no gnome shell after install on ubuntu
114
+ 12.04 inside vmware workstation
115
+ - how do i put a web application on the launcher ? how can i force ubuntu to use
116
+ font a instead font b in all applications and web pages ? how to remove the web
117
+ app shortcut created by chromium ? is there any finished tutorial on how to develop
118
+ and package unity web apps ? how do i put web applications in my unity launcher
119
+ ? how to ftp transfer files to /var/www ? i would like to set up a ubuntu os on
120
+ amazon web server , how do i do this is there a way to request support for web
121
+ applications not currently supported ? how to test web applications for mobile
122
+ devices on ubuntu ? can i use unity web apps in ubuntu 13.10 ? how to create chrome/chromium
123
+ web application desktop shortcut ? icedtea-web 1.5 needs confirmation to run trusted
124
+ applet xul + unity web api hp pavilion dv2000 web camera driver how to open applications
125
+ after booting a purely command line interface ? trouble connecting to wireless
126
+ via clear hub express are web apps still part of ubuntu 's future ? newer versions
127
+ of chromium ? powerpc macs and 12.04 lts application support
128
+ - source_sentence: 'This form of necrosis, also termed necroptosis, requires the activity
129
+ of receptor-interacting protein kinase 1 (RIP1) and its related kinase, RIP3 '
130
+ sentences:
131
+ - This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive
132
+ with inactivating TET2 mutations, suggesting that the two types of mutations had
133
+ similar effects and were thus functionally redundant.
134
+ - Co-transfection of miRVec-miR-204 and the Renilla-3′ UTR plasmid was in HEK293T
135
+ cells with TransIT-LT1 Transfection Reagent (Mirus)
136
+ - TNF-mediated programmed necrosis typically involves the receptor-interacting serine-threonine
137
+ kinases 1 and 3 (RIP1 and RIP3), as evidenced in human, mouse, and zebrafish cell
138
+ lines, as well as in a murine sepsis model
139
+ ---
140
+
141
+ # SentenceTransformer based on microsoft/mpnet-base
142
+
143
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking), [retrival_1](https://huggingface.co/datasets/mteb/arguana) and [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) datasets. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
144
+
145
+ ## Model Details
146
+
147
+ ### Model Description
148
+ - **Model Type:** Sentence Transformer
149
+ - **Base model:** [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) <!-- at revision 6996ce1e91bd2a9c7d7f61daec37463394f73f09 -->
150
+ - **Maximum Sequence Length:** 512 tokens
151
+ - **Output Dimensionality:** 768 tokens
152
+ - **Similarity Function:** Cosine Similarity
153
+ - **Training Datasets:**
154
+ - [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking)
155
+ - [retrival_1](https://huggingface.co/datasets/mteb/arguana)
156
+ - [sts_1](https://huggingface.co/datasets/mteb/biosses-sts)
157
+ - **Language:** en
158
+ <!-- - **License:** Unknown -->
159
+
160
+ ### Model Sources
161
+
162
+ - **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
163
+ - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
164
+ - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
165
+
166
+ ### Full Model Architecture
167
+
168
+ ```
169
+ SentenceTransformer(
170
+ (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel
171
+ (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
172
+ )
173
+ ```
174
+
175
+ ## Usage
176
+
177
+ ### Direct Usage (Sentence Transformers)
178
+
179
+ First install the Sentence Transformers library:
180
+
181
+ ```bash
182
+ pip install -U sentence-transformers
183
+ ```
184
+
185
+ Then you can load this model and run inference.
186
+ ```python
187
+ from sentence_transformers import SentenceTransformer
188
+
189
+ # Download from the 🤗 Hub
190
+ model = SentenceTransformer("sentence_transformers_model_id")
191
+ # Run inference
192
+ sentences = [
193
+ 'This form of necrosis, also termed necroptosis, requires the activity of receptor-interacting protein kinase 1 (RIP1) and its related kinase, RIP3 ',
194
+ 'TNF-mediated programmed necrosis typically involves the receptor-interacting serine-threonine kinases 1 and 3 (RIP1 and RIP3), as evidenced in human, mouse, and zebrafish cell lines, as well as in a murine sepsis model',
195
+ 'This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive with inactivating TET2 mutations, suggesting that the two types of mutations had similar effects and were thus functionally redundant.',
196
+ ]
197
+ embeddings = model.encode(sentences)
198
+ print(embeddings.shape)
199
+ # [3, 768]
200
+
201
+ # Get the similarity scores for the embeddings
202
+ similarities = model.similarity(embeddings, embeddings)
203
+ print(similarities.shape)
204
+ # [3, 3]
205
+ ```
206
+
207
+ <!--
208
+ ### Direct Usage (Transformers)
209
+
210
+ <details><summary>Click to see the direct usage in Transformers</summary>
211
+
212
+ </details>
213
+ -->
214
+
215
+ <!--
216
+ ### Downstream Usage (Sentence Transformers)
217
+
218
+ You can finetune this model on your own dataset.
219
+
220
+ <details><summary>Click to expand</summary>
221
+
222
+ </details>
223
+ -->
224
+
225
+ <!--
226
+ ### Out-of-Scope Use
227
+
228
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
229
+ -->
230
+
231
+ <!--
232
+ ## Bias, Risks and Limitations
233
+
234
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
235
+ -->
236
+
237
+ <!--
238
+ ### Recommendations
239
+
240
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
241
+ -->
242
+
243
+ ## Training Details
244
+
245
+ ### Training Datasets
246
+
247
+ #### reranking_1
248
+
249
+ * Dataset: [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking) at [4d853f9](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking/tree/4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c)
250
+ * Size: 337 training samples
251
+ * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
252
+ * Approximate statistics based on the first 1000 samples:
253
+ | | anchor | positive | negative |
254
+ |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
255
+ | type | string | string | string |
256
+ | details | <ul><li>min: 4 tokens</li><li>mean: 14.94 tokens</li><li>max: 39 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 84.1 tokens</li><li>max: 407 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 188.2 tokens</li><li>max: 391 tokens</li></ul> |
257
+ * Samples:
258
+ | anchor | positive | negative |
259
+ |:------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
260
+ | <code>black screen after installation with wubi</code> | <code>will installing ubuntu harm my computer ? wubi boot problem ca n't install on an emachines e725 black screen after purple ubuntu screen error , then black screen after wubi 11.10 goes into purple screen with black squares trying to login ( using wubi ) system hangs after wubi install screen turns off on boot dark purple screen with graphic corruption at boot , using wubi can i install 32 bit ubuntu on dual boot with 64 bit windows 7 ? black screen during installation ubuntu 12.10 via wubi on hp pavillion g6-1273s1 ubuntu wont boot after installing wubi from windows 7 windows 8 dual boot problem dual boot , ubuntu wo n't boot ! second wubi installation not working ubuntu after boot shows a black screen with a warning reboot required</code> | <code>how to fix black screen after boot purple then black screen after booting ? black screen after the grub screen ca n't boot after update , purple/black screen</code> |
261
+ | <code>wubi gives error 'nonetype ' object has no attribute 'get_info '</code> | <code>nonetype object has no attribute get_info ubuntu 14.04 can not install ubuntu 13.04 using wubi why does wubi installation fail with `` error : 'none type ' object has no attribute 'get_info ' '' ? error - 'nonetype ' object has no attribute 'get_info ' during xubuntu installation ca n't install 12.04 inside windows 7 using wubi error while installing ubuntu as separate os on my pc ? wubi 's error while installin ubuntu 12.10 on windows 7 why is wubi giving me an error message when i try to install ? ubuntu 12.10 install fails , both native and wubi asus eeepc 1015cx ubuntu 32 bits or 64bits ?</code> | <code>attributeerror : 'module ' object has no attribute openshot does n't launch with `` failed to import '' message software center not working ubuntu one not syncing ... in windows xp sp3 ubuntu one for windows client : `` attributeerror '' messages ubuntu one sign in error ( after installation completed ) : `` nonetype '' object has no attribute `` make file '' `` attributeerror : 'nonetype ' object has no attribute 'group ' '' when trying to use youtube-dl ' '' windows backend object has no attribute 'iso-path ' - see log for details . ' error when trying to install how can i resolve a 'windows backend : object has no attribute iso_path ' error while installing with wubi ? 'module ' object has no attribute 'py2 '</code> |
262
+ | <code>give permission to /var/www</code> | <code>write permissions in /var/www folder folders and files permission problem user ca n't ftp to a directory but is part of the group that owns it how to give read write permission to a folder and its sub folders and files ? give apache permission to write to /home/*/www/ directories give www-data write permission to /home ? assining permission to www folder problems with the /var/www folder trouble accessing www folders - permission or ownership ? group access to directory i am part of a group , but i can not create files apache 'you do n't have permission to access / on this server '</code> | <code>missing /var/www lubuntu 13.04 change permission from -rwxrwxr-x to drwxrwxr-x wordpress upload permission on nginx & ubuntu how do i restore the default permission on a directory/folder ? file permission in www/html directory for security problem while installing visual paradigm uml tool ? setting up home folders for users for 12.04 server edition -ls : can not open directory . : permission denied changed apache www folder</code> |
263
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
264
+ ```json
265
+ {
266
+ "scale": 20.0,
267
+ "similarity_fct": "cos_sim"
268
+ }
269
+ ```
270
+
271
+ #### retrival_1
272
+
273
+ * Dataset: [retrival_1](https://huggingface.co/datasets/mteb/arguana) at [c22ab2a](https://huggingface.co/datasets/mteb/arguana/tree/c22ab2a51041ffd869aaddef7af8d8215647e41a)
274
+ * Size: 7,806 training samples
275
+ * Columns: <code>title</code> and <code>text</code>
276
+ * Approximate statistics based on the first 1000 samples:
277
+ | | title | text |
278
+ |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
279
+ | type | string | string |
280
+ | details | <ul><li>min: 2 tokens</li><li>mean: 5.42 tokens</li><li>max: 17 tokens</li></ul> | <ul><li>min: 41 tokens</li><li>mean: 199.3 tokens</li><li>max: 512 tokens</li></ul> |
281
+ * Samples:
282
+ | title | text |
283
+ |:--------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
284
+ | <code></code> | <code>Not having children is environmentally friendly The more people consume in the world, the greater the environmental damage. An average American produces 52 tons of garbage by the age of 75.* However, producing extra litter and pollution is not the only hazard that every child poses to the planet. Increasing world’s population also places incredible stress on Earth’s resources. It is estimated, for instance, that by 2025 three billion people will live in water-scarce countries. By reducing the number of human beings we will manage to avoid numerous overpopulation crises and reverse the damage done to the environment. * Tufts Climate Initiative., 2006,</code> |
285
+ | <code></code> | <code>The need for interaction is all the more reason to ensure that all ideas are in the marketplace. This way, the veracity of all ideas are questioned. For example, if someone brings bigoted ideas with them as a freshman, perhaps because these ideas were prevalent in the community they grew up in, if they cannot express these ideas and be challenged they may never attempt to integrate. Instead, they will gravitate to those who share their ideas and remain isolated.</code> |
286
+ | <code></code> | <code>Putting the power to censor the internet, no matter how stringent or specific the guidelines, into the hands of a private organization is misguided. It is the state not individual ISPs who are needed to assess how dangerous a site is, whether it is actually promoting extremism, and ultimately make a decision as to whether a site needs to be blocked. The ISPs may end up being the actors that implement the policy but it has to be government that decides which websites to block and why. This also means that the decision would be much more centralised. Leaving this decision to the discretion of individual ISPs will mean that some websites will be blocked on some ISPs and not on others. Only government can ensure that there is consistency.</code> |
287
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
288
+ ```json
289
+ {
290
+ "scale": 20.0,
291
+ "similarity_fct": "cos_sim"
292
+ }
293
+ ```
294
+
295
+ #### sts_1
296
+
297
+ * Dataset: [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) at [9ee918f](https://huggingface.co/datasets/mteb/biosses-sts/tree/9ee918f184421b6bd48b78f6c714d86546106103)
298
+ * Size: 90 training samples
299
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
300
+ * Approximate statistics based on the first 1000 samples:
301
+ | | sentence1 | sentence2 | score |
302
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|
303
+ | type | string | string | float |
304
+ | details | <ul><li>min: 13 tokens</li><li>mean: 39.44 tokens</li><li>max: 88 tokens</li></ul> | <ul><li>min: 12 tokens</li><li>mean: 38.43 tokens</li><li>max: 95 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 2.24</li><li>max: 4.0</li></ul> |
305
+ * Samples:
306
+ | sentence1 | sentence2 | score |
307
+ |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
308
+ | <code>As p16INK4a blocks the inactivation of pRb by cyclin-dependent kinases, and Arf blocks the inactivation of p53 by Mdm2-mediated proteolysis, both have the capacity to cause cell cycle arrest.</code> | <code>By inducing Arf and Ink4a in primary rodent fibroblasts, oncogenic Ras expression leads to growth arrest and premature senescence.</code> | <code>2.4</code> |
309
+ | <code>Several lines of evidence suggest that the known principal RB pathway lesions in human tumors act in a mutual exclusive manner.</code> | <code>In individual human tumor specimens, these principal components of the pathway—RB-CDK4/6-p16INK4A—are reported to be targeted in a mutually exclusive manner.</code> | <code>3.4</code> |
310
+ | <code>T47D, MCF-7, Skbr3, HeLa, and Caco-2 cells were transfected by electroporation as described previously.</code> | <code> MCF7 or HeLa cells were electroporated as described previously to more than 95% efficiency with pSuper constructs against the various targets, and 72 hr later, protein expression was analyzed by SDS-PAGE and Western blotting.</code> | <code>3.0</code> |
311
+ * Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
312
+ ```json
313
+ {
314
+ "scale": 20.0,
315
+ "similarity_fct": "pairwise_cos_sim"
316
+ }
317
+ ```
318
+
319
+ ### Evaluation Datasets
320
+
321
+ #### reranking_1
322
+
323
+ * Dataset: [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking) at [4d853f9](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking/tree/4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c)
324
+ * Size: 38 evaluation samples
325
+ * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
326
+ * Approximate statistics based on the first 1000 samples:
327
+ | | anchor | positive | negative |
328
+ |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
329
+ | type | string | string | string |
330
+ | details | <ul><li>min: 7 tokens</li><li>mean: 14.0 tokens</li><li>max: 24 tokens</li></ul> | <ul><li>min: 10 tokens</li><li>mean: 77.58 tokens</li><li>max: 371 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 196.55 tokens</li><li>max: 291 tokens</li></ul> |
331
+ * Samples:
332
+ | anchor | positive | negative |
333
+ |:-------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
334
+ | <code>how do i clean install windows 7 on the `` other '' partition ?</code> | <code>how to partition disk in ubuntu and then install windows 7 ? install windows 7 on seperate partitions without losing grub how do i create a partion to install windows ? doubt : about dual boot ( 14.04 with windows 7 ) how do i install windows 7 from an iso file on a separate partition from ubuntu ? how to partition for a dual boot</code> | <code>install ubuntu in a specific partition side by side with windows 7 windows 7 system partition i have xp on one partition and windows 7 on another . how do i install ubuntu on a seperate partition ? cant ' dual install xubuntu and windows 7 i have formatted a partition for ubuntu . how do i install it on that partition ? grub wo n't load windows 7 ( unknown file system ) how to delete windows xp and integrate its partition to ubuntu ? uninstalling ubuntu when it is on the windows partition upgrading current version of ubuntu , on a multi boot system . a partition is necessary before installing ubuntu on windows 7 ? how to do a clean reinstall of ubuntu ? can i use testdisk to recover the windows partition over which ubuntu was installed ? how to update dual boot windows 7 / ubuntu 13.04 to 14.04 if i chose `` replace windows with ubuntu '' , do i lose the other partition too ?</code> |
335
+ | <code>is it possible to have two different dpi configurations for two different screens ?</code> | <code>how can i change the dpi of my monitors separately ? using external monitor with laptop monitor as separate monitors resolution in login screen different text scaling factors for different displays ? external display is showing and reporting wrong resolutions hard drive encryption boot screen resolution how to disable clone display mode on ubuntu login screen ?</code> | <code>change logon screen display configuration login screen on the wrong monitor only one resolution available in xorg.conf force gdm login screen to the primary monitor how to find and change the screen dpi ? dual screen different font resolution how can i display laptop screen on the tv by hdmi in kubuntu how do i turn off the laptop screen while using an external monitor ? adapt ubuntu to a high-dpi resolution screen how can i change my login screen resolution when connected to my monitor ( 12.04 ) dpi setting in ubuntu 13.10 resolution of the login screen is wrong on a second monitor force full-screen game to one monitor ?</code> |
336
+ | <code>any command line calculator for ubuntu ?</code> | <code>quick simple mathematics calculations ubuntu calculator in dash</code> | <code>shortcut to open/focus terminal window how to assign shortcut keys in gnome ? menu bar not visible on gnome-calculator how to permanently enable in-dash calculator in 13.10 a good hex/binary calculator command line calculator that keeps fractional values is there any calculator in software centre which could solve quadratic equations ? how to make shortcut to terminal application ? can calculator show decimal as fraction ? how to open pseudo-terminal devices on terminal ? keep calculator from opening a new window every time i press the `` calculator '' button on the keyboard ? keyboard shortcut for terminal does n't work since updating to 12.10 decimal point from number pad wo n't work on the calculator but will everywhere else how to set qalculator as default calculator ? what is 'calculator ' package ? how to get a 'non-screenlet ' calculator in compiz widget layer ? how do i use the 'scientific ' mode in the calculator ? how can i capture text from my terminal without redirecting it to a text file ?</code> |
337
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
338
+ ```json
339
+ {
340
+ "scale": 20.0,
341
+ "similarity_fct": "cos_sim"
342
+ }
343
+ ```
344
+
345
+ #### retrival_1
346
+
347
+ * Dataset: [retrival_1](https://huggingface.co/datasets/mteb/arguana) at [c22ab2a](https://huggingface.co/datasets/mteb/arguana/tree/c22ab2a51041ffd869aaddef7af8d8215647e41a)
348
+ * Size: 868 evaluation samples
349
+ * Columns: <code>title</code> and <code>text</code>
350
+ * Approximate statistics based on the first 1000 samples:
351
+ | | title | text |
352
+ |:--------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
353
+ | type | string | string |
354
+ | details | <ul><li>min: 2 tokens</li><li>mean: 5.0 tokens</li><li>max: 17 tokens</li></ul> | <ul><li>min: 26 tokens</li><li>mean: 204.03 tokens</li><li>max: 512 tokens</li></ul> |
355
+ * Samples:
356
+ | title | text |
357
+ |:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
358
+ | <code></code> | <code>Behind the veil of ignorance, human beings may not in fact side with what gives them the statistical greatest chance of survival. As Rawls himself notes, people are naturally risk-averse, and thus will select the rules that protect them from the worst possible situations, even if that sacrifice would help many others. Most people find the prospect of being actively killed by the conscious action of another human being worse than simply dying in an accident, and would seek to protect themselves against that worse outcome.</code> |
359
+ | <code></code> | <code>Schengen membership is not the same as EU membership – some non-EU states, such as Switzerland are part of Schengen, the UK and Ireland are EU member states but are not. Joining Schengen would involve the politically sensitive issue of undocumented migrants, which could not only be fatal to Cape Verde joining Schengen but to integration with Europe itself. Even if it is unlikely, is it that difficult for people to show a passport? Besides, tourism is not just from Europe to outside – a Euro move would only stop Europeans from needing to change currencies. The peg is the best of both worlds in that it means that the currency is stable.</code> |
360
+ | <code></code> | <code>News organisations cannot be completely transparent if they are to do their job properly and News International is no exception. Such organisations cannot for example reveal their sources as this may sometimes put their sources at risk and would mean that others would not come forward. As part of this news companies need to keep secret how they obtained information. While an attempt by a newspaper to cover up crimes is regrettable this one newspapers actions should not tar the whole company and its other papers.</code> |
361
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
362
+ ```json
363
+ {
364
+ "scale": 20.0,
365
+ "similarity_fct": "cos_sim"
366
+ }
367
+ ```
368
+
369
+ #### sts_1
370
+
371
+ * Dataset: [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) at [9ee918f](https://huggingface.co/datasets/mteb/biosses-sts/tree/9ee918f184421b6bd48b78f6c714d86546106103)
372
+ * Size: 10 evaluation samples
373
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
374
+ * Approximate statistics based on the first 1000 samples:
375
+ | | sentence1 | sentence2 | score |
376
+ |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------|
377
+ | type | string | string | float |
378
+ | details | <ul><li>min: 17 tokens</li><li>mean: 38.4 tokens</li><li>max: 61 tokens</li></ul> | <ul><li>min: 27 tokens</li><li>mean: 46.8 tokens</li><li>max: 62 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 1.76</li><li>max: 3.2</li></ul> |
379
+ * Samples:
380
+ | sentence1 | sentence2 | score |
381
+ |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
382
+ | <code>Recently, it was reported that expression of IDH1R132H suppresses TET2 activity and the mutations of IDH1 and IDH2 genes occur in a mutual exclusive manner with that of TET2 gene in AML </code> | <code>The mechanism was clarified by yet another genomic survey, this time involving acute myelogenous leukemia (AML).</code> | <code>1.4</code> |
383
+ | <code>Recently, it was reported that expression of IDH1R132H suppresses TET2 activity and the mutations of IDH1 and IDH2 genes occur in a mutual exclusive manner with that of TET2 gene in AML.</code> | <code>This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive with inactivating TET2 mutations, suggesting that the two types of mutations had similar effects and were thus functionally redundant.</code> | <code>3.2</code> |
384
+ | <code>A gene that warrants further studies is the erythropoietin receptor that is 7.4-fold higher expressed in TEL-AML1-positive cases compared to other precursor B-ALL cases confirming other gene expression classification studies.</code> | <code>Another recent gene expression study of large numbers of cases provided support for the hypothesis that distinct leukemias are specified by each of the unique chromosomal abnormalities found in lymphoblastic leukemias.</code> | <code>0.6</code> |
385
+ * Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
386
+ ```json
387
+ {
388
+ "scale": 20.0,
389
+ "similarity_fct": "pairwise_cos_sim"
390
+ }
391
+ ```
392
+
393
+ ### Training Hyperparameters
394
+ #### Non-Default Hyperparameters
395
+
396
+ - `eval_strategy`: epoch
397
+ - `per_device_train_batch_size`: 2
398
+ - `per_device_eval_batch_size`: 2
399
+ - `gradient_accumulation_steps`: 8
400
+ - `learning_rate`: 2e-05
401
+ - `num_train_epochs`: 5
402
+ - `lr_scheduler_type`: cosine
403
+ - `warmup_ratio`: 0.1
404
+ - `bf16`: True
405
+ - `tf32`: True
406
+ - `optim`: adamw_torch_fused
407
+ - `batch_sampler`: no_duplicates
408
+
409
+ #### All Hyperparameters
410
+ <details><summary>Click to expand</summary>
411
+
412
+ - `overwrite_output_dir`: False
413
+ - `do_predict`: False
414
+ - `eval_strategy`: epoch
415
+ - `prediction_loss_only`: True
416
+ - `per_device_train_batch_size`: 2
417
+ - `per_device_eval_batch_size`: 2
418
+ - `per_gpu_train_batch_size`: None
419
+ - `per_gpu_eval_batch_size`: None
420
+ - `gradient_accumulation_steps`: 8
421
+ - `eval_accumulation_steps`: None
422
+ - `learning_rate`: 2e-05
423
+ - `weight_decay`: 0.0
424
+ - `adam_beta1`: 0.9
425
+ - `adam_beta2`: 0.999
426
+ - `adam_epsilon`: 1e-08
427
+ - `max_grad_norm`: 1.0
428
+ - `num_train_epochs`: 5
429
+ - `max_steps`: -1
430
+ - `lr_scheduler_type`: cosine
431
+ - `lr_scheduler_kwargs`: {}
432
+ - `warmup_ratio`: 0.1
433
+ - `warmup_steps`: 0
434
+ - `log_level`: passive
435
+ - `log_level_replica`: warning
436
+ - `log_on_each_node`: True
437
+ - `logging_nan_inf_filter`: True
438
+ - `save_safetensors`: True
439
+ - `save_on_each_node`: False
440
+ - `save_only_model`: False
441
+ - `restore_callback_states_from_checkpoint`: False
442
+ - `no_cuda`: False
443
+ - `use_cpu`: False
444
+ - `use_mps_device`: False
445
+ - `seed`: 42
446
+ - `data_seed`: None
447
+ - `jit_mode_eval`: False
448
+ - `use_ipex`: False
449
+ - `bf16`: True
450
+ - `fp16`: False
451
+ - `fp16_opt_level`: O1
452
+ - `half_precision_backend`: auto
453
+ - `bf16_full_eval`: False
454
+ - `fp16_full_eval`: False
455
+ - `tf32`: True
456
+ - `local_rank`: 0
457
+ - `ddp_backend`: None
458
+ - `tpu_num_cores`: None
459
+ - `tpu_metrics_debug`: False
460
+ - `debug`: []
461
+ - `dataloader_drop_last`: False
462
+ - `dataloader_num_workers`: 0
463
+ - `dataloader_prefetch_factor`: None
464
+ - `past_index`: -1
465
+ - `disable_tqdm`: False
466
+ - `remove_unused_columns`: True
467
+ - `label_names`: None
468
+ - `load_best_model_at_end`: False
469
+ - `ignore_data_skip`: False
470
+ - `fsdp`: []
471
+ - `fsdp_min_num_params`: 0
472
+ - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
473
+ - `fsdp_transformer_layer_cls_to_wrap`: None
474
+ - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
475
+ - `deepspeed`: None
476
+ - `label_smoothing_factor`: 0.0
477
+ - `optim`: adamw_torch_fused
478
+ - `optim_args`: None
479
+ - `adafactor`: False
480
+ - `group_by_length`: False
481
+ - `length_column_name`: length
482
+ - `ddp_find_unused_parameters`: None
483
+ - `ddp_bucket_cap_mb`: None
484
+ - `ddp_broadcast_buffers`: False
485
+ - `dataloader_pin_memory`: True
486
+ - `dataloader_persistent_workers`: False
487
+ - `skip_memory_metrics`: True
488
+ - `use_legacy_prediction_loop`: False
489
+ - `push_to_hub`: False
490
+ - `resume_from_checkpoint`: None
491
+ - `hub_model_id`: None
492
+ - `hub_strategy`: every_save
493
+ - `hub_private_repo`: False
494
+ - `hub_always_push`: False
495
+ - `gradient_checkpointing`: False
496
+ - `gradient_checkpointing_kwargs`: None
497
+ - `include_inputs_for_metrics`: False
498
+ - `eval_do_concat_batches`: True
499
+ - `fp16_backend`: auto
500
+ - `push_to_hub_model_id`: None
501
+ - `push_to_hub_organization`: None
502
+ - `mp_parameters`:
503
+ - `auto_find_batch_size`: False
504
+ - `full_determinism`: False
505
+ - `torchdynamo`: None
506
+ - `ray_scope`: last
507
+ - `ddp_timeout`: 1800
508
+ - `torch_compile`: False
509
+ - `torch_compile_backend`: None
510
+ - `torch_compile_mode`: None
511
+ - `dispatch_batches`: None
512
+ - `split_batches`: None
513
+ - `include_tokens_per_second`: False
514
+ - `include_num_input_tokens_seen`: False
515
+ - `neftune_noise_alpha`: None
516
+ - `optim_target_modules`: None
517
+ - `batch_eval_metrics`: False
518
+ - `batch_sampler`: no_duplicates
519
+ - `multi_dataset_batch_sampler`: proportional
520
+
521
+ </details>
522
+
523
+ ### Training Logs
524
+ | Epoch | Step | Training Loss | reranking 1 loss | retrival 1 loss | sts 1 loss |
525
+ |:------:|:----:|:-------------:|:----------------:|:---------------:|:----------:|
526
+ | 0.9716 | 500 | 0.4296 | - | - | - |
527
+ | 0.9988 | 514 | - | 0.2080 | 0.1297 | 0.1096 |
528
+ | 0.9716 | 500 | 0.0933 | - | - | - |
529
+ | 0.9988 | 514 | - | 0.2104 | 0.1012 | 0.5515 |
530
+ | 0.9716 | 500 | 0.0435 | - | - | - |
531
+ | 0.9988 | 514 | - | 0.2026 | 0.1434 | 0.4824 |
532
+ | 0.9716 | 500 | 0.0282 | - | - | - |
533
+ | 0.9988 | 514 | - | 0.1827 | 0.1305 | 0.2950 |
534
+ | 1.9432 | 1000 | 0.0555 | - | - | - |
535
+ | 1.9995 | 1029 | - | 0.3932 | 0.0693 | 0.8649 |
536
+ | 2.9147 | 1500 | 0.0151 | - | - | - |
537
+ | 2.9983 | 1543 | - | 0.2112 | 0.0555 | 0.5478 |
538
+ | 3.8863 | 2000 | 0.0036 | - | - | - |
539
+ | 3.9990 | 2058 | - | 0.1921 | 0.0432 | 0.5912 |
540
+ | 4.8579 | 2500 | 0.0013 | - | - | - |
541
+ | 4.9939 | 2570 | - | 0.1904 | 0.0412 | 0.6356 |
542
+
543
+
544
+ ### Framework Versions
545
+ - Python: 3.10.12
546
+ - Sentence Transformers: 3.0.1
547
+ - Transformers: 4.41.2
548
+ - PyTorch: 2.2.0+cu121
549
+ - Accelerate: 0.31.0
550
+ - Datasets: 2.20.0
551
+ - Tokenizers: 0.19.1
552
+
553
+ ## Citation
554
+
555
+ ### BibTeX
556
+
557
+ #### Sentence Transformers
558
+ ```bibtex
559
+ @inproceedings{reimers-2019-sentence-bert,
560
+ title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
561
+ author = "Reimers, Nils and Gurevych, Iryna",
562
+ booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
563
+ month = "11",
564
+ year = "2019",
565
+ publisher = "Association for Computational Linguistics",
566
+ url = "https://arxiv.org/abs/1908.10084",
567
+ }
568
+ ```
569
+
570
+ #### CoSENTLoss
571
+ ```bibtex
572
+ @online{kexuefm-8847,
573
+ title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
574
+ author={Su Jianlin},
575
+ year={2022},
576
+ month={Jan},
577
+ url={https://kexue.fm/archives/8847},
578
+ }
579
+ ```
580
+
581
+ <!--
582
+ ## Glossary
583
+
584
+ *Clearly define terms in order to be accessible across audiences.*
585
+ -->
586
+
587
+ <!--
588
+ ## Model Card Authors
589
+
590
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
591
+ -->
592
+
593
+ <!--
594
+ ## Model Card Contact
595
+
596
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
597
+ -->
1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
3
+ "pooling_mode_cls_token": false,
4
+ "pooling_mode_mean_tokens": true,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false,
7
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false,
9
+ "include_prompt": true
10
+ }
README.md ADDED
@@ -0,0 +1,597 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: microsoft/mpnet-base
3
+ datasets:
4
+ - mteb/askubuntudupquestions-reranking
5
+ - mteb/mind_small
6
+ - mteb/scidocs-reranking
7
+ - mteb/stackoverflowdupquestions-reranking
8
+ - mteb/arguana
9
+ - mteb/climate-fever
10
+ - mteb/cqadupstack-android
11
+ - mteb/cqadupstack-english
12
+ - mteb/biosses-sts
13
+ - mteb/sickr-sts
14
+ - mteb/sts12-sts
15
+ - mteb/sts13-sts
16
+ language:
17
+ - en
18
+ library_name: sentence-transformers
19
+ pipeline_tag: sentence-similarity
20
+ tags:
21
+ - sentence-transformers
22
+ - sentence-similarity
23
+ - feature-extraction
24
+ - generated_from_trainer
25
+ - dataset_size:5130135
26
+ - loss:MultipleNegativesSymmetricRankingLoss
27
+ - loss:CoSENTLoss
28
+ - dataset_size:8233
29
+ widget:
30
+ - source_sentence: "This is a sample source sentence." # Ensure this is not empty
31
+ target_sentence: "This is a sample target sentence." # Ensure this is not empty
32
+ sentences:
33
+ - Broadband is a necessary evolution of internet technology that firms would be
34
+ wise to avail of if they wish to remain competitive. But it is this very desirability
35
+ that makes the provision of broadband a lucrative business in which many firms
36
+ participate. Business on a large scale is rarely organised in diffuse patterns,
37
+ but clustered in major population centres. Economic development can be furnished
38
+ by the private sector investing in broadband where there is a market. Growth will
39
+ not be slowed just because some farmers in Nebraska have slower internet. Singapore
40
+ is an aberrant example, as it is so small and its population so dense that it
41
+ would be impossible to compare its provision of broadband access to most other
42
+ countries.
43
+ - 'In retrospect, the decision to welcome the former Soviet states in the Baltic
44
+ into NATO appears foolish. They continue to have a prickly relationship with Russia,
45
+ which has some legitimate concerns about the treatment of large Russian minorities
46
+ in Latvia and Estonia, and about the siting of US nuclear defences. Their entry
47
+ into NATO was forced upon Russia, which naturally saw it as an aggressive move
48
+ designed to humiliate it, and marked the point when its pro-western policy shifted
49
+ to a more nationalist and confrontational approach. [1] It also weakened the unity
50
+ of NATO as there are quite legitimate doubts as to whether all the alliance’s
51
+ members would really go to war with Russia over the integrity of, say, Estonia.
52
+ Given this history, it would be madness to compound the problem by extending NATO
53
+ membership to Georgia and Ukraine. [1] Fraser, Malcolm, ‘Ukraine: there’s no
54
+ way out unless the west understands its past mistakes’, theguardian.com, 3 March
55
+ 2014,'
56
+ - 'We need to be critical of the cumulative potential of the tax model proposed.
57
+ Firstly, the theory of the state’s capacity and how it functions in practice differ
58
+ substantially. The idea of taxation acting to enhance the productive capacity
59
+ of a nation is based on assumptions that the institutions, human resources, and
60
+ state-capacity, are already present. This is not always the case in Africa. Corruption
61
+ and bad governance are prevalent. Reforms in 1996 to curb corruption in the TRA
62
+ were reversed due to misunderstanding the nature of corruption amongst tax officials
63
+ and administration (Fjelstad, 2003). Tax-revenue performance remains comparatively
64
+ low [1] , there is little reason to simply altering what taxes there are will
65
+ change this. Finally, alternative methods can be used to assist rural infrastructure
66
+ projects, and enable national savings. For example, revising the role of agricultural
67
+ marketing boards [2] . [1] See further readings: Gray and Kahn, 2010. [2] See
68
+ further readings: Baffes, 2005.'
69
+ - source_sentence: advantages/disadvantages of installing from source code
70
+ sentences:
71
+ - 'is it there any advantage to unticking the `` source code '''' entry of a repository
72
+ ? what is the advantage to build unity from source ffmpeg : installing from repository
73
+ or compiling from source ?'
74
+ - 'flash player issues flash player alternative for firefox flash videos go fullscreen
75
+ once ( firefox ) , then after minimising it and trying to go fullscreen again
76
+ it freezes ( ubuntu 14.04 , gnome desktop ) choppy flash video playback , ''settings
77
+ '' disabled for flash as well flash player is not working and do n''t know what
78
+ to do to fix it flash player : sound distorted error flash chrome in ubuntu 14.04'
79
+ - how to install newest version of minitube from source installing two version of
80
+ a software how to find source for a line in $ path ? how do i install network
81
+ driver source code to /lib/modules/ < kernel version > /build/drivers/net/ethernet
82
+ ca n't install vmware-view-client from partner repo in saucy why apt-get does
83
+ n't install the newest software what is the right way to reinstall from source
84
+ after package was installed via apt ? do i have to remove open drivers to switch
85
+ to fglrx ? how do i install clang version 3 in 10.10 ? adding extract tool to
86
+ nautilus ( compiled from source code ) how to point to boost built from source
87
+ how to remove httpd built from source if i build a package from source how can
88
+ i uninstall or remove completely ? avoid reinstall virtualbox and update to the
89
+ latest release installing only ruby 1.9 can i update software installed from source
90
+ code directly determine which package ( s ) were installed from a particular source
91
+ - source_sentence: will i be able to upgrade to 13.04 from 12.10 with a wubi installation
92
+ ?
93
+ sentences:
94
+ - add cron job on startup from a script
95
+ - upgrading from 12.10 wubi install to 13.04 can i safely upgrade ubuntu 12.10 to
96
+ 13.04 which installed using wubi ? will i be able to use wubi to install ubuntu
97
+ releases newer than 12.10 ? installing ubuntu in windows 8 with wubi
98
+ - upgrade from ubuntu server 12.10 to 13.04 wubi after upgrading windows 7 to windows
99
+ 8 should i use wubi ubuntu 12.04 for my academic studies like writing docs , programming
100
+ , etc ? how to do a fresh re-installation of ubuntu safely on dual boot ? wubi
101
+ 12.10 installation on windows 8 hangs do i keep my windows installation if i install
102
+ ubuntu with wubi , the windows installer ? move wubi installation of ubuntu to
103
+ a different partition in windows failed why was wubi removed from 13.04+ backup
104
+ , install and restore programms/settings of ubuntu ( wubi ) installation unable
105
+ to install ubuntu 12.10 with wubi in windows 7 - wubi is stuck upgrading my wubi
106
+ 11.04 to 11.10 no additional driver no usb or dvd drive and not able to migrate
107
+ wubi ( no clue ) how can i remove windows and upgrade wubi install to a full install
108
+ without a cd or usb stick ? upgrade ubuntu to 13.04 from 12.10 on dual-boot laptop
109
+ upgrading ubuntu 12.10 to 13.04 using bootable usb alongside windows 7
110
+ - source_sentence: how do i use ubuntu 's web application integration ?
111
+ sentences:
112
+ - out of the box ubuntu 13.04 with chromium does not automatically use web apps
113
+ - why i do not have gnome shell with gnome 3 ? no gnome shell after install on ubuntu
114
+ 12.04 inside vmware workstation
115
+ - how do i put a web application on the launcher ? how can i force ubuntu to use
116
+ font a instead font b in all applications and web pages ? how to remove the web
117
+ app shortcut created by chromium ? is there any finished tutorial on how to develop
118
+ and package unity web apps ? how do i put web applications in my unity launcher
119
+ ? how to ftp transfer files to /var/www ? i would like to set up a ubuntu os on
120
+ amazon web server , how do i do this is there a way to request support for web
121
+ applications not currently supported ? how to test web applications for mobile
122
+ devices on ubuntu ? can i use unity web apps in ubuntu 13.10 ? how to create chrome/chromium
123
+ web application desktop shortcut ? icedtea-web 1.5 needs confirmation to run trusted
124
+ applet xul + unity web api hp pavilion dv2000 web camera driver how to open applications
125
+ after booting a purely command line interface ? trouble connecting to wireless
126
+ via clear hub express are web apps still part of ubuntu 's future ? newer versions
127
+ of chromium ? powerpc macs and 12.04 lts application support
128
+ - source_sentence: 'This form of necrosis, also termed necroptosis, requires the activity
129
+ of receptor-interacting protein kinase 1 (RIP1) and its related kinase, RIP3 '
130
+ sentences:
131
+ - This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive
132
+ with inactivating TET2 mutations, suggesting that the two types of mutations had
133
+ similar effects and were thus functionally redundant.
134
+ - Co-transfection of miRVec-miR-204 and the Renilla-3′ UTR plasmid was in HEK293T
135
+ cells with TransIT-LT1 Transfection Reagent (Mirus)
136
+ - TNF-mediated programmed necrosis typically involves the receptor-interacting serine-threonine
137
+ kinases 1 and 3 (RIP1 and RIP3), as evidenced in human, mouse, and zebrafish cell
138
+ lines, as well as in a murine sepsis model
139
+ ---
140
+
141
+ # SentenceTransformer based on microsoft/mpnet-base
142
+
143
+ This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking), [retrival_1](https://huggingface.co/datasets/mteb/arguana) and [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) datasets. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
144
+
145
+ ## Model Details
146
+
147
+ ### Model Description
148
+ - **Model Type:** Sentence Transformer
149
+ - **Base model:** [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) <!-- at revision 6996ce1e91bd2a9c7d7f61daec37463394f73f09 -->
150
+ - **Maximum Sequence Length:** 512 tokens
151
+ - **Output Dimensionality:** 768 tokens
152
+ - **Similarity Function:** Cosine Similarity
153
+ - **Training Datasets:**
154
+ - [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking)
155
+ - [retrival_1](https://huggingface.co/datasets/mteb/arguana)
156
+ - [sts_1](https://huggingface.co/datasets/mteb/biosses-sts)
157
+ - **Language:** en
158
+ <!-- - **License:** Unknown -->
159
+
160
+ ### Model Sources
161
+
162
+ - **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
163
+ - **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
164
+ - **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
165
+
166
+ ### Full Model Architecture
167
+
168
+ ```
169
+ SentenceTransformer(
170
+ (0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: MPNetModel
171
+ (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
172
+ )
173
+ ```
174
+
175
+ ## Usage
176
+
177
+ ### Direct Usage (Sentence Transformers)
178
+
179
+ First install the Sentence Transformers library:
180
+
181
+ ```bash
182
+ pip install -U sentence-transformers
183
+ ```
184
+
185
+ Then you can load this model and run inference.
186
+ ```python
187
+ from sentence_transformers import SentenceTransformer
188
+
189
+ # Download from the 🤗 Hub
190
+ model = SentenceTransformer("sentence_transformers_model_id")
191
+ # Run inference
192
+ sentences = [
193
+ 'This form of necrosis, also termed necroptosis, requires the activity of receptor-interacting protein kinase 1 (RIP1) and its related kinase, RIP3 ',
194
+ 'TNF-mediated programmed necrosis typically involves the receptor-interacting serine-threonine kinases 1 and 3 (RIP1 and RIP3), as evidenced in human, mouse, and zebrafish cell lines, as well as in a murine sepsis model',
195
+ 'This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive with inactivating TET2 mutations, suggesting that the two types of mutations had similar effects and were thus functionally redundant.',
196
+ ]
197
+ embeddings = model.encode(sentences)
198
+ print(embeddings.shape)
199
+ # [3, 768]
200
+
201
+ # Get the similarity scores for the embeddings
202
+ similarities = model.similarity(embeddings, embeddings)
203
+ print(similarities.shape)
204
+ # [3, 3]
205
+ ```
206
+
207
+ <!--
208
+ ### Direct Usage (Transformers)
209
+
210
+ <details><summary>Click to see the direct usage in Transformers</summary>
211
+
212
+ </details>
213
+ -->
214
+
215
+ <!--
216
+ ### Downstream Usage (Sentence Transformers)
217
+
218
+ You can finetune this model on your own dataset.
219
+
220
+ <details><summary>Click to expand</summary>
221
+
222
+ </details>
223
+ -->
224
+
225
+ <!--
226
+ ### Out-of-Scope Use
227
+
228
+ *List how the model may foreseeably be misused and address what users ought not to do with the model.*
229
+ -->
230
+
231
+ <!--
232
+ ## Bias, Risks and Limitations
233
+
234
+ *What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
235
+ -->
236
+
237
+ <!--
238
+ ### Recommendations
239
+
240
+ *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
241
+ -->
242
+
243
+ ## Training Details
244
+
245
+ ### Training Datasets
246
+
247
+ #### reranking_1
248
+
249
+ * Dataset: [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking) at [4d853f9](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking/tree/4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c)
250
+ * Size: 337 training samples
251
+ * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
252
+ * Approximate statistics based on the first 1000 samples:
253
+ | | anchor | positive | negative |
254
+ |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|
255
+ | type | string | string | string |
256
+ | details | <ul><li>min: 4 tokens</li><li>mean: 14.94 tokens</li><li>max: 39 tokens</li></ul> | <ul><li>min: 5 tokens</li><li>mean: 84.1 tokens</li><li>max: 407 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 188.2 tokens</li><li>max: 391 tokens</li></ul> |
257
+ * Samples:
258
+ | anchor | positive | negative |
259
+ |:------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
260
+ | <code>black screen after installation with wubi</code> | <code>will installing ubuntu harm my computer ? wubi boot problem ca n't install on an emachines e725 black screen after purple ubuntu screen error , then black screen after wubi 11.10 goes into purple screen with black squares trying to login ( using wubi ) system hangs after wubi install screen turns off on boot dark purple screen with graphic corruption at boot , using wubi can i install 32 bit ubuntu on dual boot with 64 bit windows 7 ? black screen during installation ubuntu 12.10 via wubi on hp pavillion g6-1273s1 ubuntu wont boot after installing wubi from windows 7 windows 8 dual boot problem dual boot , ubuntu wo n't boot ! second wubi installation not working ubuntu after boot shows a black screen with a warning reboot required</code> | <code>how to fix black screen after boot purple then black screen after booting ? black screen after the grub screen ca n't boot after update , purple/black screen</code> |
261
+ | <code>wubi gives error 'nonetype ' object has no attribute 'get_info '</code> | <code>nonetype object has no attribute get_info ubuntu 14.04 can not install ubuntu 13.04 using wubi why does wubi installation fail with `` error : 'none type ' object has no attribute 'get_info ' '' ? error - 'nonetype ' object has no attribute 'get_info ' during xubuntu installation ca n't install 12.04 inside windows 7 using wubi error while installing ubuntu as separate os on my pc ? wubi 's error while installin ubuntu 12.10 on windows 7 why is wubi giving me an error message when i try to install ? ubuntu 12.10 install fails , both native and wubi asus eeepc 1015cx ubuntu 32 bits or 64bits ?</code> | <code>attributeerror : 'module ' object has no attribute openshot does n't launch with `` failed to import '' message software center not working ubuntu one not syncing ... in windows xp sp3 ubuntu one for windows client : `` attributeerror '' messages ubuntu one sign in error ( after installation completed ) : `` nonetype '' object has no attribute `` make file '' `` attributeerror : 'nonetype ' object has no attribute 'group ' '' when trying to use youtube-dl ' '' windows backend object has no attribute 'iso-path ' - see log for details . ' error when trying to install how can i resolve a 'windows backend : object has no attribute iso_path ' error while installing with wubi ? 'module ' object has no attribute 'py2 '</code> |
262
+ | <code>give permission to /var/www</code> | <code>write permissions in /var/www folder folders and files permission problem user ca n't ftp to a directory but is part of the group that owns it how to give read write permission to a folder and its sub folders and files ? give apache permission to write to /home/*/www/ directories give www-data write permission to /home ? assining permission to www folder problems with the /var/www folder trouble accessing www folders - permission or ownership ? group access to directory i am part of a group , but i can not create files apache 'you do n't have permission to access / on this server '</code> | <code>missing /var/www lubuntu 13.04 change permission from -rwxrwxr-x to drwxrwxr-x wordpress upload permission on nginx & ubuntu how do i restore the default permission on a directory/folder ? file permission in www/html directory for security problem while installing visual paradigm uml tool ? setting up home folders for users for 12.04 server edition -ls : can not open directory . : permission denied changed apache www folder</code> |
263
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
264
+ ```json
265
+ {
266
+ "scale": 20.0,
267
+ "similarity_fct": "cos_sim"
268
+ }
269
+ ```
270
+
271
+ #### retrival_1
272
+
273
+ * Dataset: [retrival_1](https://huggingface.co/datasets/mteb/arguana) at [c22ab2a](https://huggingface.co/datasets/mteb/arguana/tree/c22ab2a51041ffd869aaddef7af8d8215647e41a)
274
+ * Size: 7,806 training samples
275
+ * Columns: <code>title</code> and <code>text</code>
276
+ * Approximate statistics based on the first 1000 samples:
277
+ | | title | text |
278
+ |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
279
+ | type | string | string |
280
+ | details | <ul><li>min: 2 tokens</li><li>mean: 5.42 tokens</li><li>max: 17 tokens</li></ul> | <ul><li>min: 41 tokens</li><li>mean: 199.3 tokens</li><li>max: 512 tokens</li></ul> |
281
+ * Samples:
282
+ | title | text |
283
+ |:--------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
284
+ | <code></code> | <code>Not having children is environmentally friendly The more people consume in the world, the greater the environmental damage. An average American produces 52 tons of garbage by the age of 75.* However, producing extra litter and pollution is not the only hazard that every child poses to the planet. Increasing world’s population also places incredible stress on Earth’s resources. It is estimated, for instance, that by 2025 three billion people will live in water-scarce countries. By reducing the number of human beings we will manage to avoid numerous overpopulation crises and reverse the damage done to the environment. * Tufts Climate Initiative., 2006,</code> |
285
+ | <code></code> | <code>The need for interaction is all the more reason to ensure that all ideas are in the marketplace. This way, the veracity of all ideas are questioned. For example, if someone brings bigoted ideas with them as a freshman, perhaps because these ideas were prevalent in the community they grew up in, if they cannot express these ideas and be challenged they may never attempt to integrate. Instead, they will gravitate to those who share their ideas and remain isolated.</code> |
286
+ | <code></code> | <code>Putting the power to censor the internet, no matter how stringent or specific the guidelines, into the hands of a private organization is misguided. It is the state not individual ISPs who are needed to assess how dangerous a site is, whether it is actually promoting extremism, and ultimately make a decision as to whether a site needs to be blocked. The ISPs may end up being the actors that implement the policy but it has to be government that decides which websites to block and why. This also means that the decision would be much more centralised. Leaving this decision to the discretion of individual ISPs will mean that some websites will be blocked on some ISPs and not on others. Only government can ensure that there is consistency.</code> |
287
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
288
+ ```json
289
+ {
290
+ "scale": 20.0,
291
+ "similarity_fct": "cos_sim"
292
+ }
293
+ ```
294
+
295
+ #### sts_1
296
+
297
+ * Dataset: [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) at [9ee918f](https://huggingface.co/datasets/mteb/biosses-sts/tree/9ee918f184421b6bd48b78f6c714d86546106103)
298
+ * Size: 90 training samples
299
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
300
+ * Approximate statistics based on the first 1000 samples:
301
+ | | sentence1 | sentence2 | score |
302
+ |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:---------------------------------------------------------------|
303
+ | type | string | string | float |
304
+ | details | <ul><li>min: 13 tokens</li><li>mean: 39.44 tokens</li><li>max: 88 tokens</li></ul> | <ul><li>min: 12 tokens</li><li>mean: 38.43 tokens</li><li>max: 95 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 2.24</li><li>max: 4.0</li></ul> |
305
+ * Samples:
306
+ | sentence1 | sentence2 | score |
307
+ |:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
308
+ | <code>As p16INK4a blocks the inactivation of pRb by cyclin-dependent kinases, and Arf blocks the inactivation of p53 by Mdm2-mediated proteolysis, both have the capacity to cause cell cycle arrest.</code> | <code>By inducing Arf and Ink4a in primary rodent fibroblasts, oncogenic Ras expression leads to growth arrest and premature senescence.</code> | <code>2.4</code> |
309
+ | <code>Several lines of evidence suggest that the known principal RB pathway lesions in human tumors act in a mutual exclusive manner.</code> | <code>In individual human tumor specimens, these principal components of the pathway—RB-CDK4/6-p16INK4A—are reported to be targeted in a mutually exclusive manner.</code> | <code>3.4</code> |
310
+ | <code>T47D, MCF-7, Skbr3, HeLa, and Caco-2 cells were transfected by electroporation as described previously.</code> | <code> MCF7 or HeLa cells were electroporated as described previously to more than 95% efficiency with pSuper constructs against the various targets, and 72 hr later, protein expression was analyzed by SDS-PAGE and Western blotting.</code> | <code>3.0</code> |
311
+ * Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
312
+ ```json
313
+ {
314
+ "scale": 20.0,
315
+ "similarity_fct": "pairwise_cos_sim"
316
+ }
317
+ ```
318
+
319
+ ### Evaluation Datasets
320
+
321
+ #### reranking_1
322
+
323
+ * Dataset: [reranking_1](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking) at [4d853f9](https://huggingface.co/datasets/mteb/askubuntudupquestions-reranking/tree/4d853f94cd57d85ec13805aeeac3ae3e5eb4c49c)
324
+ * Size: 38 evaluation samples
325
+ * Columns: <code>anchor</code>, <code>positive</code>, and <code>negative</code>
326
+ * Approximate statistics based on the first 1000 samples:
327
+ | | anchor | positive | negative |
328
+ |:--------|:---------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------|
329
+ | type | string | string | string |
330
+ | details | <ul><li>min: 7 tokens</li><li>mean: 14.0 tokens</li><li>max: 24 tokens</li></ul> | <ul><li>min: 10 tokens</li><li>mean: 77.58 tokens</li><li>max: 371 tokens</li></ul> | <ul><li>min: 2 tokens</li><li>mean: 196.55 tokens</li><li>max: 291 tokens</li></ul> |
331
+ * Samples:
332
+ | anchor | positive | negative |
333
+ |:-------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
334
+ | <code>how do i clean install windows 7 on the `` other '' partition ?</code> | <code>how to partition disk in ubuntu and then install windows 7 ? install windows 7 on seperate partitions without losing grub how do i create a partion to install windows ? doubt : about dual boot ( 14.04 with windows 7 ) how do i install windows 7 from an iso file on a separate partition from ubuntu ? how to partition for a dual boot</code> | <code>install ubuntu in a specific partition side by side with windows 7 windows 7 system partition i have xp on one partition and windows 7 on another . how do i install ubuntu on a seperate partition ? cant ' dual install xubuntu and windows 7 i have formatted a partition for ubuntu . how do i install it on that partition ? grub wo n't load windows 7 ( unknown file system ) how to delete windows xp and integrate its partition to ubuntu ? uninstalling ubuntu when it is on the windows partition upgrading current version of ubuntu , on a multi boot system . a partition is necessary before installing ubuntu on windows 7 ? how to do a clean reinstall of ubuntu ? can i use testdisk to recover the windows partition over which ubuntu was installed ? how to update dual boot windows 7 / ubuntu 13.04 to 14.04 if i chose `` replace windows with ubuntu '' , do i lose the other partition too ?</code> |
335
+ | <code>is it possible to have two different dpi configurations for two different screens ?</code> | <code>how can i change the dpi of my monitors separately ? using external monitor with laptop monitor as separate monitors resolution in login screen different text scaling factors for different displays ? external display is showing and reporting wrong resolutions hard drive encryption boot screen resolution how to disable clone display mode on ubuntu login screen ?</code> | <code>change logon screen display configuration login screen on the wrong monitor only one resolution available in xorg.conf force gdm login screen to the primary monitor how to find and change the screen dpi ? dual screen different font resolution how can i display laptop screen on the tv by hdmi in kubuntu how do i turn off the laptop screen while using an external monitor ? adapt ubuntu to a high-dpi resolution screen how can i change my login screen resolution when connected to my monitor ( 12.04 ) dpi setting in ubuntu 13.10 resolution of the login screen is wrong on a second monitor force full-screen game to one monitor ?</code> |
336
+ | <code>any command line calculator for ubuntu ?</code> | <code>quick simple mathematics calculations ubuntu calculator in dash</code> | <code>shortcut to open/focus terminal window how to assign shortcut keys in gnome ? menu bar not visible on gnome-calculator how to permanently enable in-dash calculator in 13.10 a good hex/binary calculator command line calculator that keeps fractional values is there any calculator in software centre which could solve quadratic equations ? how to make shortcut to terminal application ? can calculator show decimal as fraction ? how to open pseudo-terminal devices on terminal ? keep calculator from opening a new window every time i press the `` calculator '' button on the keyboard ? keyboard shortcut for terminal does n't work since updating to 12.10 decimal point from number pad wo n't work on the calculator but will everywhere else how to set qalculator as default calculator ? what is 'calculator ' package ? how to get a 'non-screenlet ' calculator in compiz widget layer ? how do i use the 'scientific ' mode in the calculator ? how can i capture text from my terminal without redirecting it to a text file ?</code> |
337
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
338
+ ```json
339
+ {
340
+ "scale": 20.0,
341
+ "similarity_fct": "cos_sim"
342
+ }
343
+ ```
344
+
345
+ #### retrival_1
346
+
347
+ * Dataset: [retrival_1](https://huggingface.co/datasets/mteb/arguana) at [c22ab2a](https://huggingface.co/datasets/mteb/arguana/tree/c22ab2a51041ffd869aaddef7af8d8215647e41a)
348
+ * Size: 868 evaluation samples
349
+ * Columns: <code>title</code> and <code>text</code>
350
+ * Approximate statistics based on the first 1000 samples:
351
+ | | title | text |
352
+ |:--------|:--------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|
353
+ | type | string | string |
354
+ | details | <ul><li>min: 2 tokens</li><li>mean: 5.0 tokens</li><li>max: 17 tokens</li></ul> | <ul><li>min: 26 tokens</li><li>mean: 204.03 tokens</li><li>max: 512 tokens</li></ul> |
355
+ * Samples:
356
+ | title | text |
357
+ |:--------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
358
+ | <code></code> | <code>Behind the veil of ignorance, human beings may not in fact side with what gives them the statistical greatest chance of survival. As Rawls himself notes, people are naturally risk-averse, and thus will select the rules that protect them from the worst possible situations, even if that sacrifice would help many others. Most people find the prospect of being actively killed by the conscious action of another human being worse than simply dying in an accident, and would seek to protect themselves against that worse outcome.</code> |
359
+ | <code></code> | <code>Schengen membership is not the same as EU membership – some non-EU states, such as Switzerland are part of Schengen, the UK and Ireland are EU member states but are not. Joining Schengen would involve the politically sensitive issue of undocumented migrants, which could not only be fatal to Cape Verde joining Schengen but to integration with Europe itself. Even if it is unlikely, is it that difficult for people to show a passport? Besides, tourism is not just from Europe to outside – a Euro move would only stop Europeans from needing to change currencies. The peg is the best of both worlds in that it means that the currency is stable.</code> |
360
+ | <code></code> | <code>News organisations cannot be completely transparent if they are to do their job properly and News International is no exception. Such organisations cannot for example reveal their sources as this may sometimes put their sources at risk and would mean that others would not come forward. As part of this news companies need to keep secret how they obtained information. While an attempt by a newspaper to cover up crimes is regrettable this one newspapers actions should not tar the whole company and its other papers.</code> |
361
+ * Loss: [<code>MultipleNegativesSymmetricRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativessymmetricrankingloss) with these parameters:
362
+ ```json
363
+ {
364
+ "scale": 20.0,
365
+ "similarity_fct": "cos_sim"
366
+ }
367
+ ```
368
+
369
+ #### sts_1
370
+
371
+ * Dataset: [sts_1](https://huggingface.co/datasets/mteb/biosses-sts) at [9ee918f](https://huggingface.co/datasets/mteb/biosses-sts/tree/9ee918f184421b6bd48b78f6c714d86546106103)
372
+ * Size: 10 evaluation samples
373
+ * Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
374
+ * Approximate statistics based on the first 1000 samples:
375
+ | | sentence1 | sentence2 | score |
376
+ |:--------|:----------------------------------------------------------------------------------|:----------------------------------------------------------------------------------|:---------------------------------------------------------------|
377
+ | type | string | string | float |
378
+ | details | <ul><li>min: 17 tokens</li><li>mean: 38.4 tokens</li><li>max: 61 tokens</li></ul> | <ul><li>min: 27 tokens</li><li>mean: 46.8 tokens</li><li>max: 62 tokens</li></ul> | <ul><li>min: 0.0</li><li>mean: 1.76</li><li>max: 3.2</li></ul> |
379
+ * Samples:
380
+ | sentence1 | sentence2 | score |
381
+ |:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-----------------|
382
+ | <code>Recently, it was reported that expression of IDH1R132H suppresses TET2 activity and the mutations of IDH1 and IDH2 genes occur in a mutual exclusive manner with that of TET2 gene in AML </code> | <code>The mechanism was clarified by yet another genomic survey, this time involving acute myelogenous leukemia (AML).</code> | <code>1.4</code> |
383
+ | <code>Recently, it was reported that expression of IDH1R132H suppresses TET2 activity and the mutations of IDH1 and IDH2 genes occur in a mutual exclusive manner with that of TET2 gene in AML.</code> | <code>This large-scale study showed that IDH1/IDH2 mutations were mutually exclusive with inactivating TET2 mutations, suggesting that the two types of mutations had similar effects and were thus functionally redundant.</code> | <code>3.2</code> |
384
+ | <code>A gene that warrants further studies is the erythropoietin receptor that is 7.4-fold higher expressed in TEL-AML1-positive cases compared to other precursor B-ALL cases confirming other gene expression classification studies.</code> | <code>Another recent gene expression study of large numbers of cases provided support for the hypothesis that distinct leukemias are specified by each of the unique chromosomal abnormalities found in lymphoblastic leukemias.</code> | <code>0.6</code> |
385
+ * Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
386
+ ```json
387
+ {
388
+ "scale": 20.0,
389
+ "similarity_fct": "pairwise_cos_sim"
390
+ }
391
+ ```
392
+
393
+ ### Training Hyperparameters
394
+ #### Non-Default Hyperparameters
395
+
396
+ - `eval_strategy`: epoch
397
+ - `per_device_train_batch_size`: 2
398
+ - `per_device_eval_batch_size`: 2
399
+ - `gradient_accumulation_steps`: 8
400
+ - `learning_rate`: 2e-05
401
+ - `num_train_epochs`: 5
402
+ - `lr_scheduler_type`: cosine
403
+ - `warmup_ratio`: 0.1
404
+ - `bf16`: True
405
+ - `tf32`: True
406
+ - `optim`: adamw_torch_fused
407
+ - `batch_sampler`: no_duplicates
408
+
409
+ #### All Hyperparameters
410
+ <details><summary>Click to expand</summary>
411
+
412
+ - `overwrite_output_dir`: False
413
+ - `do_predict`: False
414
+ - `eval_strategy`: epoch
415
+ - `prediction_loss_only`: True
416
+ - `per_device_train_batch_size`: 2
417
+ - `per_device_eval_batch_size`: 2
418
+ - `per_gpu_train_batch_size`: None
419
+ - `per_gpu_eval_batch_size`: None
420
+ - `gradient_accumulation_steps`: 8
421
+ - `eval_accumulation_steps`: None
422
+ - `learning_rate`: 2e-05
423
+ - `weight_decay`: 0.0
424
+ - `adam_beta1`: 0.9
425
+ - `adam_beta2`: 0.999
426
+ - `adam_epsilon`: 1e-08
427
+ - `max_grad_norm`: 1.0
428
+ - `num_train_epochs`: 5
429
+ - `max_steps`: -1
430
+ - `lr_scheduler_type`: cosine
431
+ - `lr_scheduler_kwargs`: {}
432
+ - `warmup_ratio`: 0.1
433
+ - `warmup_steps`: 0
434
+ - `log_level`: passive
435
+ - `log_level_replica`: warning
436
+ - `log_on_each_node`: True
437
+ - `logging_nan_inf_filter`: True
438
+ - `save_safetensors`: True
439
+ - `save_on_each_node`: False
440
+ - `save_only_model`: False
441
+ - `restore_callback_states_from_checkpoint`: False
442
+ - `no_cuda`: False
443
+ - `use_cpu`: False
444
+ - `use_mps_device`: False
445
+ - `seed`: 42
446
+ - `data_seed`: None
447
+ - `jit_mode_eval`: False
448
+ - `use_ipex`: False
449
+ - `bf16`: True
450
+ - `fp16`: False
451
+ - `fp16_opt_level`: O1
452
+ - `half_precision_backend`: auto
453
+ - `bf16_full_eval`: False
454
+ - `fp16_full_eval`: False
455
+ - `tf32`: True
456
+ - `local_rank`: 0
457
+ - `ddp_backend`: None
458
+ - `tpu_num_cores`: None
459
+ - `tpu_metrics_debug`: False
460
+ - `debug`: []
461
+ - `dataloader_drop_last`: False
462
+ - `dataloader_num_workers`: 0
463
+ - `dataloader_prefetch_factor`: None
464
+ - `past_index`: -1
465
+ - `disable_tqdm`: False
466
+ - `remove_unused_columns`: True
467
+ - `label_names`: None
468
+ - `load_best_model_at_end`: False
469
+ - `ignore_data_skip`: False
470
+ - `fsdp`: []
471
+ - `fsdp_min_num_params`: 0
472
+ - `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
473
+ - `fsdp_transformer_layer_cls_to_wrap`: None
474
+ - `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
475
+ - `deepspeed`: None
476
+ - `label_smoothing_factor`: 0.0
477
+ - `optim`: adamw_torch_fused
478
+ - `optim_args`: None
479
+ - `adafactor`: False
480
+ - `group_by_length`: False
481
+ - `length_column_name`: length
482
+ - `ddp_find_unused_parameters`: None
483
+ - `ddp_bucket_cap_mb`: None
484
+ - `ddp_broadcast_buffers`: False
485
+ - `dataloader_pin_memory`: True
486
+ - `dataloader_persistent_workers`: False
487
+ - `skip_memory_metrics`: True
488
+ - `use_legacy_prediction_loop`: False
489
+ - `push_to_hub`: False
490
+ - `resume_from_checkpoint`: None
491
+ - `hub_model_id`: None
492
+ - `hub_strategy`: every_save
493
+ - `hub_private_repo`: False
494
+ - `hub_always_push`: False
495
+ - `gradient_checkpointing`: False
496
+ - `gradient_checkpointing_kwargs`: None
497
+ - `include_inputs_for_metrics`: False
498
+ - `eval_do_concat_batches`: True
499
+ - `fp16_backend`: auto
500
+ - `push_to_hub_model_id`: None
501
+ - `push_to_hub_organization`: None
502
+ - `mp_parameters`:
503
+ - `auto_find_batch_size`: False
504
+ - `full_determinism`: False
505
+ - `torchdynamo`: None
506
+ - `ray_scope`: last
507
+ - `ddp_timeout`: 1800
508
+ - `torch_compile`: False
509
+ - `torch_compile_backend`: None
510
+ - `torch_compile_mode`: None
511
+ - `dispatch_batches`: None
512
+ - `split_batches`: None
513
+ - `include_tokens_per_second`: False
514
+ - `include_num_input_tokens_seen`: False
515
+ - `neftune_noise_alpha`: None
516
+ - `optim_target_modules`: None
517
+ - `batch_eval_metrics`: False
518
+ - `batch_sampler`: no_duplicates
519
+ - `multi_dataset_batch_sampler`: proportional
520
+
521
+ </details>
522
+
523
+ ### Training Logs
524
+ | Epoch | Step | Training Loss | reranking 1 loss | retrival 1 loss | sts 1 loss |
525
+ |:------:|:----:|:-------------:|:----------------:|:---------------:|:----------:|
526
+ | 0.9716 | 500 | 0.4296 | - | - | - |
527
+ | 0.9988 | 514 | - | 0.2080 | 0.1297 | 0.1096 |
528
+ | 0.9716 | 500 | 0.0933 | - | - | - |
529
+ | 0.9988 | 514 | - | 0.2104 | 0.1012 | 0.5515 |
530
+ | 0.9716 | 500 | 0.0435 | - | - | - |
531
+ | 0.9988 | 514 | - | 0.2026 | 0.1434 | 0.4824 |
532
+ | 0.9716 | 500 | 0.0282 | - | - | - |
533
+ | 0.9988 | 514 | - | 0.1827 | 0.1305 | 0.2950 |
534
+ | 1.9432 | 1000 | 0.0555 | - | - | - |
535
+ | 1.9995 | 1029 | - | 0.3932 | 0.0693 | 0.8649 |
536
+ | 2.9147 | 1500 | 0.0151 | - | - | - |
537
+ | 2.9983 | 1543 | - | 0.2112 | 0.0555 | 0.5478 |
538
+ | 3.8863 | 2000 | 0.0036 | - | - | - |
539
+ | 3.9990 | 2058 | - | 0.1921 | 0.0432 | 0.5912 |
540
+ | 4.8579 | 2500 | 0.0013 | - | - | - |
541
+ | 4.9939 | 2570 | - | 0.1904 | 0.0412 | 0.6356 |
542
+
543
+
544
+ ### Framework Versions
545
+ - Python: 3.10.12
546
+ - Sentence Transformers: 3.0.1
547
+ - Transformers: 4.41.2
548
+ - PyTorch: 2.2.0+cu121
549
+ - Accelerate: 0.31.0
550
+ - Datasets: 2.20.0
551
+ - Tokenizers: 0.19.1
552
+
553
+ ## Citation
554
+
555
+ ### BibTeX
556
+
557
+ #### Sentence Transformers
558
+ ```bibtex
559
+ @inproceedings{reimers-2019-sentence-bert,
560
+ title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
561
+ author = "Reimers, Nils and Gurevych, Iryna",
562
+ booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
563
+ month = "11",
564
+ year = "2019",
565
+ publisher = "Association for Computational Linguistics",
566
+ url = "https://arxiv.org/abs/1908.10084",
567
+ }
568
+ ```
569
+
570
+ #### CoSENTLoss
571
+ ```bibtex
572
+ @online{kexuefm-8847,
573
+ title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
574
+ author={Su Jianlin},
575
+ year={2022},
576
+ month={Jan},
577
+ url={https://kexue.fm/archives/8847},
578
+ }
579
+ ```
580
+
581
+ <!--
582
+ ## Glossary
583
+
584
+ *Clearly define terms in order to be accessible across audiences.*
585
+ -->
586
+
587
+ <!--
588
+ ## Model Card Authors
589
+
590
+ *Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
591
+ -->
592
+
593
+ <!--
594
+ ## Model Card Contact
595
+
596
+ *Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
597
+ -->
config.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/mpnet-base",
3
+ "architectures": [
4
+ "MPNetModel"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 3072,
14
+ "layer_norm_eps": 1e-05,
15
+ "max_position_embeddings": 514,
16
+ "model_type": "mpnet",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 1,
20
+ "relative_attention_num_buckets": 32,
21
+ "torch_dtype": "float32",
22
+ "transformers_version": "4.41.2",
23
+ "vocab_size": 30527
24
+ }
config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.0.1",
4
+ "transformers": "4.41.2",
5
+ "pytorch": "2.2.0+cu121"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8484e6626c78b1e3f27dffe1ed7c9886ba67ccbd573276abacaccfdb0abba724
3
+ size 437967672
modules.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ }
14
+ ]
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b9a26f7bc618275dddec6da1510d9e69bf98dcf391b31ba32af4e6ad0f92dc2
3
+ size 871334522
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c14a556422a7476f073f5fa4ddf7346afcbbfd267378dfa8972c18d40e075e79
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d94fb8caeabfcf418870a22e48bdd1bf4c35926a662a2650f49c78657687c790
3
+ size 1064
sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "[UNK]",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<pad>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "104": {
36
+ "content": "[UNK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ },
43
+ "30526": {
44
+ "content": "<mask>",
45
+ "lstrip": true,
46
+ "normalized": false,
47
+ "rstrip": false,
48
+ "single_word": false,
49
+ "special": true
50
+ }
51
+ },
52
+ "bos_token": "<s>",
53
+ "clean_up_tokenization_spaces": true,
54
+ "cls_token": "<s>",
55
+ "do_lower_case": true,
56
+ "eos_token": "</s>",
57
+ "mask_token": "<mask>",
58
+ "model_max_length": 512,
59
+ "pad_token": "<pad>",
60
+ "sep_token": "</s>",
61
+ "strip_accents": null,
62
+ "tokenize_chinese_chars": true,
63
+ "tokenizer_class": "MPNetTokenizer",
64
+ "unk_token": "[UNK]"
65
+ }
trainer_state.json ADDED
@@ -0,0 +1,188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.993927617196988,
5
+ "eval_steps": 500,
6
+ "global_step": 2570,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.9715812484819043,
13
+ "grad_norm": 0.0,
14
+ "learning_rate": 1.9460259489596192e-05,
15
+ "loss": 0.0282,
16
+ "step": 500
17
+ },
18
+ {
19
+ "epoch": 0.9987855234393976,
20
+ "eval_reranking_1_loss": 0.182732954621315,
21
+ "eval_reranking_1_runtime": 1.2858,
22
+ "eval_reranking_1_samples_per_second": 29.553,
23
+ "eval_reranking_1_steps_per_second": 14.777,
24
+ "step": 514
25
+ },
26
+ {
27
+ "epoch": 0.9987855234393976,
28
+ "eval_retrival_1_loss": 0.1305331587791443,
29
+ "eval_retrival_1_runtime": 26.5236,
30
+ "eval_retrival_1_samples_per_second": 32.726,
31
+ "eval_retrival_1_steps_per_second": 16.363,
32
+ "step": 514
33
+ },
34
+ {
35
+ "epoch": 0.9987855234393976,
36
+ "eval_sts_1_loss": 0.2950426936149597,
37
+ "eval_sts_1_runtime": 0.2829,
38
+ "eval_sts_1_samples_per_second": 35.351,
39
+ "eval_sts_1_steps_per_second": 17.676,
40
+ "step": 514
41
+ },
42
+ {
43
+ "epoch": 1.9431624969638086,
44
+ "grad_norm": 6.779000282287598,
45
+ "learning_rate": 1.5325659218524745e-05,
46
+ "loss": 0.0555,
47
+ "step": 1000
48
+ },
49
+ {
50
+ "epoch": 1.999514209375759,
51
+ "eval_reranking_1_loss": 0.3932221829891205,
52
+ "eval_reranking_1_runtime": 1.258,
53
+ "eval_reranking_1_samples_per_second": 30.208,
54
+ "eval_reranking_1_steps_per_second": 15.104,
55
+ "step": 1029
56
+ },
57
+ {
58
+ "epoch": 1.999514209375759,
59
+ "eval_retrival_1_loss": 0.06928794831037521,
60
+ "eval_retrival_1_runtime": 28.2993,
61
+ "eval_retrival_1_samples_per_second": 30.672,
62
+ "eval_retrival_1_steps_per_second": 15.336,
63
+ "step": 1029
64
+ },
65
+ {
66
+ "epoch": 1.999514209375759,
67
+ "eval_sts_1_loss": 0.8648566007614136,
68
+ "eval_sts_1_runtime": 0.2978,
69
+ "eval_sts_1_samples_per_second": 33.582,
70
+ "eval_sts_1_steps_per_second": 16.791,
71
+ "step": 1029
72
+ },
73
+ {
74
+ "epoch": 2.914743745445713,
75
+ "grad_norm": 0.030390629544854164,
76
+ "learning_rate": 8.827829529818852e-06,
77
+ "loss": 0.0151,
78
+ "step": 1500
79
+ },
80
+ {
81
+ "epoch": 2.998299732815157,
82
+ "eval_reranking_1_loss": 0.21115952730178833,
83
+ "eval_reranking_1_runtime": 1.2048,
84
+ "eval_reranking_1_samples_per_second": 31.54,
85
+ "eval_reranking_1_steps_per_second": 15.77,
86
+ "step": 1543
87
+ },
88
+ {
89
+ "epoch": 2.998299732815157,
90
+ "eval_retrival_1_loss": 0.05546686798334122,
91
+ "eval_retrival_1_runtime": 26.8806,
92
+ "eval_retrival_1_samples_per_second": 32.291,
93
+ "eval_retrival_1_steps_per_second": 16.145,
94
+ "step": 1543
95
+ },
96
+ {
97
+ "epoch": 2.998299732815157,
98
+ "eval_sts_1_loss": 0.5478371977806091,
99
+ "eval_sts_1_runtime": 0.2864,
100
+ "eval_sts_1_samples_per_second": 34.913,
101
+ "eval_sts_1_steps_per_second": 17.457,
102
+ "step": 1543
103
+ },
104
+ {
105
+ "epoch": 3.886324993927617,
106
+ "grad_norm": 0.0,
107
+ "learning_rate": 2.8501434747835012e-06,
108
+ "loss": 0.0036,
109
+ "step": 2000
110
+ },
111
+ {
112
+ "epoch": 3.999028418751518,
113
+ "eval_reranking_1_loss": 0.19206289947032928,
114
+ "eval_reranking_1_runtime": 1.196,
115
+ "eval_reranking_1_samples_per_second": 31.774,
116
+ "eval_reranking_1_steps_per_second": 15.887,
117
+ "step": 2058
118
+ },
119
+ {
120
+ "epoch": 3.999028418751518,
121
+ "eval_retrival_1_loss": 0.04320598766207695,
122
+ "eval_retrival_1_runtime": 27.2793,
123
+ "eval_retrival_1_samples_per_second": 31.819,
124
+ "eval_retrival_1_steps_per_second": 15.909,
125
+ "step": 2058
126
+ },
127
+ {
128
+ "epoch": 3.999028418751518,
129
+ "eval_sts_1_loss": 0.591204047203064,
130
+ "eval_sts_1_runtime": 0.2948,
131
+ "eval_sts_1_samples_per_second": 33.923,
132
+ "eval_sts_1_steps_per_second": 16.961,
133
+ "step": 2058
134
+ },
135
+ {
136
+ "epoch": 4.857906242409522,
137
+ "grad_norm": 0.0018939984729513526,
138
+ "learning_rate": 4.5163479025036596e-08,
139
+ "loss": 0.0013,
140
+ "step": 2500
141
+ },
142
+ {
143
+ "epoch": 4.993927617196988,
144
+ "eval_reranking_1_loss": 0.19038808345794678,
145
+ "eval_reranking_1_runtime": 1.207,
146
+ "eval_reranking_1_samples_per_second": 31.484,
147
+ "eval_reranking_1_steps_per_second": 15.742,
148
+ "step": 2570
149
+ },
150
+ {
151
+ "epoch": 4.993927617196988,
152
+ "eval_retrival_1_loss": 0.04124879837036133,
153
+ "eval_retrival_1_runtime": 27.5211,
154
+ "eval_retrival_1_samples_per_second": 31.539,
155
+ "eval_retrival_1_steps_per_second": 15.77,
156
+ "step": 2570
157
+ },
158
+ {
159
+ "epoch": 4.993927617196988,
160
+ "eval_sts_1_loss": 0.6356238722801208,
161
+ "eval_sts_1_runtime": 0.3051,
162
+ "eval_sts_1_samples_per_second": 32.781,
163
+ "eval_sts_1_steps_per_second": 16.39,
164
+ "step": 2570
165
+ }
166
+ ],
167
+ "logging_steps": 500,
168
+ "max_steps": 2570,
169
+ "num_input_tokens_seen": 0,
170
+ "num_train_epochs": 5,
171
+ "save_steps": 500,
172
+ "stateful_callbacks": {
173
+ "TrainerControl": {
174
+ "args": {
175
+ "should_epoch_stop": false,
176
+ "should_evaluate": false,
177
+ "should_log": false,
178
+ "should_save": true,
179
+ "should_training_stop": true
180
+ },
181
+ "attributes": {}
182
+ }
183
+ },
184
+ "total_flos": 0.0,
185
+ "train_batch_size": 2,
186
+ "trial_name": null,
187
+ "trial_params": null
188
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8732499b4dd920e781a2fdaada10558fd39a38c780fd56ad157b883624218075
3
+ size 5304
vocab.txt ADDED
The diff for this file is too large to render. See raw diff