Add new SentenceTransformer model

1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": true,
+  "pooling_mode_mean_tokens": false,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

README.md

@@ -0,0 +1,756 @@
+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:21196
+- loss:DenoisingAutoEncoderLoss
+base_model: google-bert/bert-base-uncased
+widget:
+- source_sentence: Oldham also has Fencing, Marshall Club is a Competitive of its
+    competing on stage . They train times old South High.
+  sentences:
+  - Several leading batsmen opposed the new law , including the professional Herbert
+    <unk> , known as an exponent of pad @-@ play , and amateurs Errol Holmes and Bob
+    Wyatt . Wisden <unk> ' <unk> noted that these three improved their batting records
+    during the 1935 season , but batsmen generally were less successful . There were
+    also fewer drawn matches . There was an increase in the number of lbws — out of
+    1 @,@ 560 lbw dismissals in first @-@ class matches in 1935 , 483 were given under
+    the amended law . Wisden judged the experiment a success and several of its opponents
+    changed their mind by the end of the season ; batsmen soon became accustomed to
+    the alteration . Although Australian authorities were less convinced , and did
+    not immediately introduce the revision into domestic first @-@ class cricket ,
+    in 1937 the new rule became part of the Laws of Cricket .
+  - Oldham also has a Fencing Club , Marshall Fencing Club is a Competitive Fencing
+    Club with most of its members competing on the national stage . They train three
+    times a week at the old South Chadderton High School .
+  - While overseeing an initial <unk> of American involvement in the Vietnam War ,
+    he subsequently ended U.S. involvement in 1973 , and eliminated the draft . <unk>
+    , his administration generally embraced policies that transferred power from Washington
+    to the states . Among other things , he initiated wars on cancer and drugs , imposed
+    wage and price controls , enforced <unk> of Southern schools and established the
+    Environmental Protection Agency . Though he presided over Apollo 11 and the subsequent
+    lunar landings , he later scaled back manned space exploration . In 1972 , he
+    was reelected by a landslide , the largest to that date . The Watergate scandal
+    , which would consume the larger part of his second term , resulted in his ultimate
+    resignation on August 4 , 1974 .
+- source_sentence: Randy contributed tracks on the album, was the honest record's
+    made . 't care thought of the lyrics . They were only important her "Carey of
+    Def Leppard's song "Bringin Heartbreak . During the photo shoot for Charmbracelet,
+    Carey happened to Def Leppard's Vault (1995), which contains the song and decided
+    to cover In an interview with, Carey said the song is "an of her musical diversity
+    . Jackson on "My Saving ", which Carey said describes thoughts about and process
+    . While Capri Carey became ill cancer and she returned to New York to spend time
+    he after In his, Carey and produced the song Sunflowers Carey song represents
+    "his of the family is kind of hard to talk about . "be "for, and she sang it only
+    in studio DJ <unk> songs for the, but of them were
+  sentences:
+  - = = Taxonomy and phylogeny = =
+  - 'Outside Japan , Destiny 2 was released in China and South Korea by Sony Computer
+    Entertainment in 2003 : the Korean version was released on March 27 , and the
+    Chinese version was released on August 14 . The game was going to be part of a
+    world tour by Sony Computer Entertainment to promote the next generation of role
+    @-@ playing games , but the tensions between America and Iraq at the time and
+    the consequent risks of a terrorist attack caused them to cancel the trip . Asked
+    at the launch event whether an overseas version of the game was being developed
+    , producer Makoto <unk> said he was " not certain " . The PSP port was released
+    in South Korea by Namco Bandai Games ''s local branch on March 5 , 2007 . Neither
+    the original nor the port has been released in the west , making it one of three
+    mainline Tales titles to remain exclusive to Japan .'
+  - Randy Jackson contributed to four tracks on the album , and said it was " the
+    most real and honest record she 's made . She didn 't care what anyone thought
+    of the lyrics . They were only important to her . " Carey included a cover of
+    Def Leppard 's song " Bringin ' On the Heartbreak " . During the photo shoot for
+    Charmbracelet at Capri , Carey happened to listen to Def Leppard 's album Vault
+    ( 1995 ) , which contains the song , and decided to cover it . In an interview
+    with Billboard , Carey said that the song is " an example of her musical diversity
+    " . Jackson also worked on " My Saving Grace " , which Carey said describes her
+    thoughts about the writing , recording and mastering process . While working in
+    Capri , Carey 's father became ill with cancer and she returned to New York to
+    spend some time with him ; he died soon after . In his memory , Carey wrote and
+    produced the song " Sunflowers for Alfred Roy " . Carey said that the song represents
+    " his side of the family and is kind of hard to talk about . " The song proved
+    to be " very emotional " for Carey , and she sang it only once in the studio .
+    DJ <unk> also produced songs for the album , but none of them were included .
+- source_sentence: = = = Allied =
+  sentences:
+  - = = = Allied planning = = =
+  - = = = English colonists = = =
+  - Germany advocated quick recognition of Croatia , stating that it wanted to stop
+    ongoing violence in Serb @-@ inhabited areas . It was opposed by France , the
+    United Kingdom , and the Netherlands , but the countries agreed to pursue a common
+    approach and avoid unilateral actions . On 10 October , two days after the Croatian
+    Parliament confirmed the declaration of independence , the EEC decided to postpone
+    any decision to recognize Croatia for two months , deciding to recognize Croatian
+    independence in two months if the war had not ended by then . As the deadline
+    expired , Germany presented its decision to recognize Croatia as its policy and
+    duty — a position supported by Italy and Denmark . France and the UK attempted
+    to prevent the recognition by drafting a United Nations resolution requesting
+    no unilateral actions which could <unk> the situation , but backed down during
+    the Security Council debate on 14 December , when Germany appeared determined
+    to defy the UN resolution . On 17 December , the EEC formally agreed to grant
+    Croatia diplomatic recognition on 15 January 1992 , relying on opinion of the
+    Badinter <unk> Committee . The Committee ruled that Croatia 's independence should
+    not be recognized immediately , because the new Croatian Constitution did not
+    provide protection of minorities required by the EEC . In response , the President
+    Franjo Tuđman gave written <unk> to Robert Badinter that the deficit would be
+    <unk> . The <unk> formally declared its separation from Croatia on 19 December
+    , but its statehood and independence were not recognized internationally . On
+    26 December , Yugoslav authorities announced plans for a smaller state , which
+    could include the territory captured from Croatia , but the plan was rejected
+    by the UN General Assembly .
+- source_sentence: During the night, the German and force Katia and was Oghratina
+    when Division to the Zealand Rifles Brigades and 5th Mounted Brigade were Oghratina
+    Despite by brigades to the enemy, they were forced to make a on strongly <unk>
+    positions which carefully artillery Meanwhile, the divisions Katia Abu Hamra and
+    Lawrence moved his forward from Kantara to The 3rd Light Brigade the right towards
+    <unk, but could make small progress, positions securely held by German and.
+  sentences:
+  - State Route 243 ( SR 243 ) , or the Banning @-@ Idyllwild <unk> Highway , is a
+    30 @-@ mile ( 50 kilometer ) two @-@ lane highway that runs from Banning , California
+    ( in the north ) to Idyllwild , California ( in the south ) in Riverside County
+    , California . The highway is a connector between Interstate 10 ( I @-@ 10 ) and
+    SR 74 . Along its route , it provides access to the San <unk> National Forest
+    . A road from Banning to Idyllwild was planned around the turn of the twentieth
+    century , and was open by 1910 . The road was added to the state highway system
+    in 1970 .
+  - During the previous night , the German and Ottoman force evacuated Katia and was
+    moving towards Oghratina when Chauvel ordered the Anzac Mounted Division to continue
+    the attack . The New Zealand Mounted Rifles Brigades and the 5th Mounted Brigade
+    were ordered to capture Oghratina . Despite attempts by these two brigades to
+    turn the enemy flank , they were forced to make a frontal attack on strongly entrenched
+    <unk> in positions which favoured the defenders and which were supported by carefully
+    positioned artillery . Meanwhile , the two infantry divisions moved to garrison
+    Katia and Abu Hamra and Lawrence moved his headquarters forward from Kantara to
+    Romani . The 3rd Light Horse Brigade on the right advanced towards <unk> , but
+    could only make small progress , against positions securely held by German and
+    Ottoman forces .
+  - The current training ground is located at Bodymoor Heath near <unk> in north Warwickshire
+    , the site for which was purchased by former chairman Doug Ellis in the early
+    1970s from a local farmer . Although Bodymoor Heath was state @-@ of @-@ the @-@
+    art in the 1970s , by the late 1990s the facilities had started to look dated
+    . In November 2005 , Ellis and Aston Villa <unk> announced a state of the art
+    GB £ 13 million redevelopment of Bodymoor in two phases . However , work on Bodymoor
+    was suspended by Ellis due to financial problems , and was left in an unfinished
+    state until new owner Randy Lerner made it one of his priorities to make the site
+    one of the best in world football . The new training ground was officially unveiled
+    on 6 May 2007 , by then manager Martin O 'Neill , then team captain Gareth Barry
+    and 1982 European Cup winning team captain Dennis Mortimer , with the Aston Villa
+    squad moving in for the 2007 – 08 season .
+- source_sentence: album five @ -, in an with Billboard magazine, said it was previously
+    "something I wanted to revisit as been doing a while . "The medley a written whereas
+    McCartney had worked the Beatles' was made of "bits we had knocking . "The off
+    with Vintage "McCartney sat one to looking back [and looking back . about life
+    followed by the bass @ - @ led That Was Me, which is his school days and ",, "from
+    there . songs "Feet the Clouds "about the inactivity while is up of ", about the
+    life being a celebrity The final song medley, The End of ", written McCartney's
+    unk> playing on his, Jim's piano
+  sentences:
+  - Severe Tropical Storm Domoina in 1984 caused 100 year floods in South Africa and
+    record rainfall in Swaziland . The fourth named storm of the season , Domoina
+    developed on January 16 off the northeast coast of Madagascar . With a ridge to
+    the north , the storm tracked generally westward and later southwestward . On
+    January 21 , Domoina struck eastern Madagascar , the third storm in six weeks
+    to affect the nation ; collectively , the storms caused 42 deaths and $ 25 million
+    in damage ( 1984 USD ) . After crossing the country , Domoina strengthened in
+    the Mozambique Channel to peak 10 minute sustained winds of 95 km / h ( 60 mph
+    ) . On January 28 , the storm made landfall in southern Mozambique , and slowly
+    weakened over land . Domoina crossed into Swaziland and later eastern South Africa
+    before dissipating on February 2 .
+  - The album features a five song @-@ medley , which in an interview with Billboard
+    magazine , McCartney said that it was previously " something I wanted to revisit
+    " as " nobody had been doing that for a while . " The medley was a group of intentionally
+    written material , whereas McCartney had worked on the Beatles ' Abbey Road which
+    , however , was actually made up of " bits we had knocking around . " The medley
+    starts off with " Vintage Clothes " , which McCartney " sat down one day " to
+    write , that was " looking back , [ and ] looking back . " , about life . It was
+    followed by the bass @-@ led " That Was Me " , which is about his " school days
+    and teachers " , the medley , as McCartney stated , then " progressed from there
+    . " The next songs are " Feet in the Clouds " , about the inactivity while one
+    is growing up , and " House of Wax " , about the life of being a celebrity . The
+    final song in medley , " The End of the End " , was written at McCartney 's <unk>
+    Avenue home while playing on his father , Jim 's , piano .
+  - Varanasi grew as an important industrial centre , famous for its muslin and silk
+    <unk> , perfumes , ivory works , and sculpture . Buddha is believed to have founded
+    Buddhism here around <unk> BC when he gave his first sermon , " The Setting in
+    Motion of the Wheel of Dharma " , at nearby <unk> . The city 's religious importance
+    continued to grow in the 8th century , when Adi <unk> established the worship
+    of Shiva as an official sect of Varanasi . Despite the Muslim rule , Varanasi
+    remained the centre of activity for Hindu intellectuals and theologians during
+    the Middle Ages , which further contributed to its reputation as a cultural centre
+    of religion and education . <unk> Tulsidas wrote his epic poem on Lord Rama 's
+    life called Ram <unk> Manas in Varanasi . Several other major figures of the Bhakti
+    movement were born in Varanasi , including Kabir and Ravidas . Guru Nanak Dev
+    visited Varanasi for <unk> in <unk> , a trip that played a large role in the founding
+    of <unk> . In the 16th century , Varanasi experienced a cultural revival under
+    the Muslim Mughal emperor <unk> who invested in the city , and built two large
+    temples dedicated to Shiva and Vishnu , though much of modern Varanasi was built
+    during the 18th century , by the Maratha and <unk> kings . The kingdom of Benares
+    was given official status by the <unk> in 1737 , and continued as a dynasty @-@
+    governed area until Indian independence in 1947 . The city is governed by the
+    Varanasi Nagar Nigam ( Municipal Corporation ) and is represented in the Parliament
+    of India by the current Prime Minister of India <unk> <unk> , who won the <unk>
+    <unk> elections in 2014 by a huge margin . Silk weaving , carpets and crafts and
+    tourism employ a significant number of the local population , as do the <unk>
+    <unk> Works and Bharat Heavy <unk> Limited . Varanasi Hospital was established
+    in 1964 .
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+metrics:
+- pearson_cosine
+- spearman_cosine
+model-index:
+- name: SentenceTransformer based on google-bert/bert-base-uncased
+  results:
+  - task:
+      type: semantic-similarity
+      name: Semantic Similarity
+    dataset:
+      name: sts dev
+      type: sts-dev
+    metrics:
+    - type: pearson_cosine
+      value: 0.6552233601802461
+      name: Pearson Cosine
+    - type: spearman_cosine
+      value: 0.6640796604094039
+      name: Spearman Cosine
+  - task:
+      type: semantic-similarity
+      name: Semantic Similarity
+    dataset:
+      name: sts test
+      type: sts-test
+    metrics:
+    - type: pearson_cosine
+      value: 0.7355355958065635
+      name: Pearson Cosine
+    - type: spearman_cosine
+      value: 0.7320302276487962
+      name: Spearman Cosine
+---
+
+# SentenceTransformer based on google-bert/bert-base-uncased
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased). 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.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) <!-- at revision 86b5e0934494bd15c9632b12f734a8a67f723594 -->
+- **Maximum Sequence Length:** 75 tokens
+- **Output Dimensionality:** 768 dimensions
+- **Similarity Function:** Cosine Similarity
+<!-- - **Training Dataset:** Unknown -->
+<!-- - **Language:** Unknown -->
+<!-- - **License:** Unknown -->
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
+- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+
+### Full Model Architecture
+
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 75, 'do_lower_case': False}) with Transformer model: BertModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
+)
+```
+
+## Usage
+
+### Direct Usage (Sentence Transformers)
+
+First install the Sentence Transformers library:
+
+```bash
+pip install -U sentence-transformers
+```
+
+Then you can load this model and run inference.
+```python
+from sentence_transformers import SentenceTransformer
+
+# Download from the 🤗 Hub
+model = SentenceTransformer("tartspuppy/bert-base-uncased-tsdae-encoder")
+# Run inference
+sentences = [
+    'album five @ -, in an with Billboard magazine, said it was previously "something I wanted to revisit as been doing a while . "The medley a written whereas McCartney had worked the Beatles\' was made of "bits we had knocking . "The off with Vintage "McCartney sat one to looking back [and looking back . about life followed by the bass @ - @ led That Was Me, which is his school days and ",, "from there . songs "Feet the Clouds "about the inactivity while is up of ", about the life being a celebrity The final song medley, The End of ", written McCartney\'s unk> playing on his, Jim\'s piano',
+    'The album features a five song @-@ medley , which in an interview with Billboard magazine , McCartney said that it was previously " something I wanted to revisit " as " nobody had been doing that for a while . " The medley was a group of intentionally written material , whereas McCartney had worked on the Beatles \' Abbey Road which , however , was actually made up of " bits we had knocking around . " The medley starts off with " Vintage Clothes " , which McCartney " sat down one day " to write , that was " looking back , [ and ] looking back . " , about life . It was followed by the bass @-@ led " That Was Me " , which is about his " school days and teachers " , the medley , as McCartney stated , then " progressed from there . " The next songs are " Feet in the Clouds " , about the inactivity while one is growing up , and " House of Wax " , about the life of being a celebrity . The final song in medley , " The End of the End " , was written at McCartney \'s <unk> Avenue home while playing on his father , Jim \'s , piano .',
+    'Varanasi grew as an important industrial centre , famous for its muslin and silk <unk> , perfumes , ivory works , and sculpture . Buddha is believed to have founded Buddhism here around <unk> BC when he gave his first sermon , " The Setting in Motion of the Wheel of Dharma " , at nearby <unk> . The city \'s religious importance continued to grow in the 8th century , when Adi <unk> established the worship of Shiva as an official sect of Varanasi . Despite the Muslim rule , Varanasi remained the centre of activity for Hindu intellectuals and theologians during the Middle Ages , which further contributed to its reputation as a cultural centre of religion and education . <unk> Tulsidas wrote his epic poem on Lord Rama \'s life called Ram <unk> Manas in Varanasi . Several other major figures of the Bhakti movement were born in Varanasi , including Kabir and Ravidas . Guru Nanak Dev visited Varanasi for <unk> in <unk> , a trip that played a large role in the founding of <unk> . In the 16th century , Varanasi experienced a cultural revival under the Muslim Mughal emperor <unk> who invested in the city , and built two large temples dedicated to Shiva and Vishnu , though much of modern Varanasi was built during the 18th century , by the Maratha and <unk> kings . The kingdom of Benares was given official status by the <unk> in 1737 , and continued as a dynasty @-@ governed area until Indian independence in 1947 . The city is governed by the Varanasi Nagar Nigam ( Municipal Corporation ) and is represented in the Parliament of India by the current Prime Minister of India <unk> <unk> , who won the <unk> <unk> elections in 2014 by a huge margin . Silk weaving , carpets and crafts and tourism employ a significant number of the local population , as do the <unk> <unk> Works and Bharat Heavy <unk> Limited . Varanasi Hospital was established in 1964 .',
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 768]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities.shape)
+# [3, 3]
+```
+
+<!--
+### Direct Usage (Transformers)
+
+<details><summary>Click to see the direct usage in Transformers</summary>
+
+</details>
+-->
+
+<!--
+### Downstream Usage (Sentence Transformers)
+
+You can finetune this model on your own dataset.
+
+<details><summary>Click to expand</summary>
+
+</details>
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+## Evaluation
+
+### Metrics
+
+#### Semantic Similarity
+
+* Datasets: `sts-dev` and `sts-test`
+* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
+
+| Metric              | sts-dev    | sts-test  |
+|:--------------------|:-----------|:----------|
+| pearson_cosine      | 0.6552     | 0.7355    |
+| **spearman_cosine** | **0.6641** | **0.732** |
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Dataset
+
+#### Unnamed Dataset
+
+* Size: 21,196 training samples
+* Columns: <code>text</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | text                                                                              |
+  |:--------|:----------------------------------------------------------------------------------|
+  | type    | string                                                                            |
+  | details | <ul><li>min: 6 tokens</li><li>mean: 51.01 tokens</li><li>max: 75 tokens</li></ul> |
+* Samples:
+  | text                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>To promote the album , Carey announced a world tour in April 2003 . As of 2003 , " Charmbracelet World Tour : An Intimate Evening with Mariah Carey " was her most extensive tour , lasting over eight months and performing sixty @-@ nine shows in venues worldwide . Before tickets went on sale in the US , venues were switched from large arenas to smaller , more intimate theater shows . According to Carey , the change was made in order to give fans a more intimate show , and something more Broadway @-@ influenced . She said , " It 's much more intimate so you 'll feel like you had an experience . You experience a night with me . " However , while smaller productions were booked for the US leg of the tour , Carey performed at stadia and arenas in Asia and Europe , and performed for a crowd of over 35 @,@ 000 in Manila , 50 @,@ 000 in Malaysia , and to over 70 @,@ 000 people in China . In the UK , it was Carey 's first tour to feature shows outside London ; she performed in Glasgow , Birming...</code> |
+  | <code>By 1916 , these raiding forces were causing serious concern in the Admiralty as the proximity of Bruges to the British coast , to the troopship lanes across the English Channel and for the U @-@ boats , to the Western Approaches ; the heaviest shipping lanes in the World at the time . In the late spring of 1915 , Admiral Reginald <unk> had attempted without success to destroy the lock gates at Ostend with monitors . This effort failed , and Bruges became increasingly important in the Atlantic Campaign , which reached its height in 1917 . By early 1918 , the Admiralty was seeking ever more radical solutions to the problems raised by unrestricted submarine warfare , including instructing the " Allied Naval and Marine Forces " department to plan attacks on U @-@ boat bases in Belgium .</code>                                                                                                                                                                                                                   |
+  | <code>PWI International Heavyweight Championship ( 1 time )</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+* Loss: [<code>DenoisingAutoEncoderLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#denoisingautoencoderloss)
+
+### Evaluation Dataset
+
+#### Unnamed Dataset
+
+* Size: 2,355 evaluation samples
+* Columns: <code>text</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | text                                                                              |
+  |:--------|:----------------------------------------------------------------------------------|
+  | type    | string                                                                            |
+  | details | <ul><li>min: 4 tokens</li><li>mean: 51.08 tokens</li><li>max: 75 tokens</li></ul> |
+* Samples:
+  | text                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
+  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+  | <code>Wilde 's two final comedies , An Ideal Husband and The Importance of Being Earnest , were still on stage in London at the time of his prosecution , and they were soon closed as the details of his case became public . After two years in prison with hard labour , Wilde went into exile in Paris , sick and depressed , his reputation destroyed in England . In 1898 , when no @-@ one else would , Leonard Smithers agreed with Wilde to publish the two final plays . Wilde proved to be a <unk> <unk> , sending detailed instructions on stage directions , character listings and the presentation of the book , and insisting that a <unk> from the first performance be reproduced inside . Ellmann argues that the proofs show a man " very much in command of himself and of the play " . Wilde 's name did not appear on the cover , it was " By the Author of Lady Windermere 's Fan " . His return to work was brief though , as he refused to write anything else , " I can write , but have lost the joy of writing " ...</code> |
+  | <code>= = = = Ely Viaduct = = = =</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |
+  | <code>= = World War I = =</code>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         |
+* Loss: [<code>DenoisingAutoEncoderLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#denoisingautoencoderloss)
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: steps
+- `per_device_train_batch_size`: 64
+- `per_device_eval_batch_size`: 64
+- `learning_rate`: 3e-05
+- `num_train_epochs`: 100
+- `warmup_ratio`: 0.1
+- `fp16`: True
+- `dataloader_num_workers`: 2
+- `load_best_model_at_end`: True
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: steps
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 64
+- `per_device_eval_batch_size`: 64
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 1
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 3e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1.0
+- `num_train_epochs`: 100
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.1
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `save_safetensors`: True
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `no_cuda`: False
+- `use_cpu`: False
+- `use_mps_device`: False
+- `seed`: 42
+- `data_seed`: None
+- `jit_mode_eval`: False
+- `use_ipex`: False
+- `bf16`: False
+- `fp16`: True
+- `fp16_opt_level`: O1
+- `half_precision_backend`: auto
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: None
+- `local_rank`: 0
+- `ddp_backend`: None
+- `tpu_num_cores`: None
+- `tpu_metrics_debug`: False
+- `debug`: []
+- `dataloader_drop_last`: False
+- `dataloader_num_workers`: 2
+- `dataloader_prefetch_factor`: None
+- `past_index`: -1
+- `disable_tqdm`: False
+- `remove_unused_columns`: True
+- `label_names`: None
+- `load_best_model_at_end`: True
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_min_num_params`: 0
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `tp_size`: 0
+- `fsdp_transformer_layer_cls_to_wrap`: None
+- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
+- `deepspeed`: None
+- `label_smoothing_factor`: 0.0
+- `optim`: adamw_torch
+- `optim_args`: None
+- `adafactor`: False
+- `group_by_length`: False
+- `length_column_name`: length
+- `ddp_find_unused_parameters`: None
+- `ddp_bucket_cap_mb`: None
+- `ddp_broadcast_buffers`: False
+- `dataloader_pin_memory`: True
+- `dataloader_persistent_workers`: False
+- `skip_memory_metrics`: True
+- `use_legacy_prediction_loop`: False
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: None
+- `hub_always_push`: False
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `include_for_metrics`: []
+- `eval_do_concat_batches`: True
+- `fp16_backend`: auto
+- `push_to_hub_model_id`: None
+- `push_to_hub_organization`: None
+- `mp_parameters`: 
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `torchdynamo`: None
+- `ray_scope`: last
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `dispatch_batches`: None
+- `split_batches`: None
+- `include_tokens_per_second`: False
+- `include_num_input_tokens_seen`: False
+- `neftune_noise_alpha`: None
+- `optim_target_modules`: None
+- `batch_eval_metrics`: False
+- `eval_on_start`: False
+- `use_liger_kernel`: False
+- `eval_use_gather_object`: False
+- `average_tokens_across_devices`: False
+- `prompts`: None
+- `batch_sampler`: batch_sampler
+- `multi_dataset_batch_sampler`: proportional
+
+</details>
+
+### Training Logs
+<details><summary>Click to expand</summary>
+
+| Epoch       | Step     | Training Loss | Validation Loss | sts-dev_spearman_cosine | sts-test_spearman_cosine |
+|:-----------:|:--------:|:-------------:|:---------------:|:-----------------------:|:------------------------:|
+| -1          | -1       | -             | -               | 0.3173                  | -                        |
+| 0.6024      | 100      | 8.2676        | -               | -                       | -                        |
+| 1.2048      | 200      | 6.0396        | -               | -                       | -                        |
+| 1.8072      | 300      | 4.7794        | -               | -                       | -                        |
+| 2.4096      | 400      | 4.2732        | -               | -                       | -                        |
+| 3.0120      | 500      | 3.9759        | -               | -                       | -                        |
+| 3.6145      | 600      | 3.7263        | -               | -                       | -                        |
+| 4.2169      | 700      | 3.5471        | -               | -                       | -                        |
+| 4.8193      | 800      | 3.4097        | -               | -                       | -                        |
+| 5.4217      | 900      | 3.2513        | -               | -                       | -                        |
+| 6.0241      | 1000     | 3.1646        | 3.3052          | 0.7232                  | -                        |
+| 6.6265      | 1100     | 3.0129        | -               | -                       | -                        |
+| 7.2289      | 1200     | 2.9307        | -               | -                       | -                        |
+| 7.8313      | 1300     | 2.8372        | -               | -                       | -                        |
+| 8.4337      | 1400     | 2.7232        | -               | -                       | -                        |
+| 9.0361      | 1500     | 2.6845        | -               | -                       | -                        |
+| 9.6386      | 1600     | 2.546         | -               | -                       | -                        |
+| 10.2410     | 1700     | 2.4931        | -               | -                       | -                        |
+| 10.8434     | 1800     | 2.4064        | -               | -                       | -                        |
+| 11.4458     | 1900     | 2.3145        | -               | -                       | -                        |
+| 12.0482     | 2000     | 2.2715        | 3.1490          | 0.7177                  | -                        |
+| 12.6506     | 2100     | 2.1495        | -               | -                       | -                        |
+| 13.2530     | 2200     | 2.1164        | -               | -                       | -                        |
+| 13.8554     | 2300     | 2.0398        | -               | -                       | -                        |
+| 14.4578     | 2400     | 1.9538        | -               | -                       | -                        |
+| 15.0602     | 2500     | 1.9311        | -               | -                       | -                        |
+| 15.6627     | 2600     | 1.8264        | -               | -                       | -                        |
+| 16.2651     | 2700     | 1.7786        | -               | -                       | -                        |
+| 16.8675     | 2800     | 1.7256        | -               | -                       | -                        |
+| 17.4699     | 2900     | 1.6395        | -               | -                       | -                        |
+| 18.0723     | 3000     | 1.6082        | 3.4656          | 0.6894                  | -                        |
+| 18.6747     | 3100     | 1.5152        | -               | -                       | -                        |
+| 19.2771     | 3200     | 1.4678        | -               | -                       | -                        |
+| 19.8795     | 3300     | 1.425         | -               | -                       | -                        |
+| 20.4819     | 3400     | 1.3395        | -               | -                       | -                        |
+| 21.0843     | 3500     | 1.3203        | -               | -                       | -                        |
+| 21.6867     | 3600     | 1.2275        | -               | -                       | -                        |
+| 22.2892     | 3700     | 1.1955        | -               | -                       | -                        |
+| 22.8916     | 3800     | 1.1612        | -               | -                       | -                        |
+| 23.4940     | 3900     | 1.0792        | -               | -                       | -                        |
+| 24.0964     | 4000     | 1.0557        | 3.9473          | 0.6822                  | -                        |
+| 24.6988     | 4100     | 0.9793        | -               | -                       | -                        |
+| 25.3012     | 4200     | 0.9516        | -               | -                       | -                        |
+| 25.9036     | 4300     | 0.9095        | -               | -                       | -                        |
+| 26.5060     | 4400     | 0.8408        | -               | -                       | -                        |
+| 27.1084     | 4500     | 0.8338        | -               | -                       | -                        |
+| 27.7108     | 4600     | 0.7713        | -               | -                       | -                        |
+| 28.3133     | 4700     | 0.8312        | -               | -                       | -                        |
+| 28.9157     | 4800     | 0.8437        | -               | -                       | -                        |
+| 29.5181     | 4900     | 0.6952        | -               | -                       | -                        |
+| 30.1205     | 5000     | 0.6825        | 4.3702          | 0.6671                  | -                        |
+| 30.7229     | 5100     | 1.7624        | -               | -                       | -                        |
+| 31.3253     | 5200     | 6.9439        | -               | -                       | -                        |
+| 31.9277     | 5300     | 6.2218        | -               | -                       | -                        |
+| 32.5301     | 5400     | 5.9866        | -               | -                       | -                        |
+| 33.1325     | 5500     | 5.8608        | -               | -                       | -                        |
+| 33.7349     | 5600     | 5.7661        | -               | -                       | -                        |
+| 34.3373     | 5700     | 5.7114        | -               | -                       | -                        |
+| 34.9398     | 5800     | 5.6526        | -               | -                       | -                        |
+| 35.5422     | 5900     | 5.5982        | -               | -                       | -                        |
+| **36.1446** | **6000** | **5.5632**    | **5.6696**      | **0.7876**              | **-**                    |
+| 36.7470     | 6100     | 5.5455        | -               | -                       | -                        |
+| 37.3494     | 6200     | 5.4853        | -               | -                       | -                        |
+| 37.9518     | 6300     | 5.4709        | -               | -                       | -                        |
+| 38.5542     | 6400     | 5.4372        | -               | -                       | -                        |
+| 39.1566     | 6500     | 5.405         | -               | -                       | -                        |
+| 39.7590     | 6600     | 5.4011        | -               | -                       | -                        |
+| 40.3614     | 6700     | 5.3779        | -               | -                       | -                        |
+| 40.9639     | 6800     | 5.3684        | -               | -                       | -                        |
+| 41.5663     | 6900     | 5.3462        | -               | -                       | -                        |
+| 42.1687     | 7000     | 5.335         | 5.5090          | 0.7515                  | -                        |
+| 42.7711     | 7100     | 5.3273        | -               | -                       | -                        |
+| 43.3735     | 7200     | 5.3078        | -               | -                       | -                        |
+| 43.9759     | 7300     | 5.3005        | -               | -                       | -                        |
+| 44.5783     | 7400     | 5.2836        | -               | -                       | -                        |
+| 45.1807     | 7500     | 5.2732        | -               | -                       | -                        |
+| 45.7831     | 7600     | 5.2707        | -               | -                       | -                        |
+| 46.3855     | 7700     | 5.2525        | -               | -                       | -                        |
+| 46.9880     | 7800     | 5.2439        | -               | -                       | -                        |
+| 47.5904     | 7900     | 5.2316        | -               | -                       | -                        |
+| 48.1928     | 8000     | 5.2121        | 5.4451          | 0.7316                  | -                        |
+| 48.7952     | 8100     | 5.2142        | -               | -                       | -                        |
+| 49.3976     | 8200     | 5.1939        | -               | -                       | -                        |
+| 50.0        | 8300     | 5.186         | -               | -                       | -                        |
+| 50.6024     | 8400     | 5.166         | -               | -                       | -                        |
+| 51.2048     | 8500     | 5.1727        | -               | -                       | -                        |
+| 51.8072     | 8600     | 5.1555        | -               | -                       | -                        |
+| 52.4096     | 8700     | 5.1538        | -               | -                       | -                        |
+| 53.0120     | 8800     | 5.1413        | -               | -                       | -                        |
+| 53.6145     | 8900     | 5.1343        | -               | -                       | -                        |
+| 54.2169     | 9000     | 5.1257        | 5.3939          | 0.7142                  | -                        |
+| 54.8193     | 9100     | 5.1183        | -               | -                       | -                        |
+| 55.4217     | 9200     | 5.116         | -               | -                       | -                        |
+| 56.0241     | 9300     | 5.0999        | -               | -                       | -                        |
+| 56.6265     | 9400     | 5.0922        | -               | -                       | -                        |
+| 57.2289     | 9500     | 5.0756        | -               | -                       | -                        |
+| 57.8313     | 9600     | 5.0792        | -               | -                       | -                        |
+| 58.4337     | 9700     | 5.061         | -               | -                       | -                        |
+| 59.0361     | 9800     | 5.0663        | -               | -                       | -                        |
+| 59.6386     | 9900     | 5.0493        | -               | -                       | -                        |
+| 60.2410     | 10000    | 5.0487        | 5.3613          | 0.7019                  | -                        |
+| 60.8434     | 10100    | 5.0462        | -               | -                       | -                        |
+| 61.4458     | 10200    | 5.0356        | -               | -                       | -                        |
+| 62.0482     | 10300    | 5.0379        | -               | -                       | -                        |
+| 62.6506     | 10400    | 5.0243        | -               | -                       | -                        |
+| 63.2530     | 10500    | 5.0091        | -               | -                       | -                        |
+| 63.8554     | 10600    | 5.0128        | -               | -                       | -                        |
+| 64.4578     | 10700    | 5.0099        | -               | -                       | -                        |
+| 65.0602     | 10800    | 5.0078        | -               | -                       | -                        |
+| 65.6627     | 10900    | 4.9965        | -               | -                       | -                        |
+| 66.2651     | 11000    | 4.9907        | 5.3310          | 0.6963                  | -                        |
+| 66.8675     | 11100    | 4.9918        | -               | -                       | -                        |
+| 67.4699     | 11200    | 4.9724        | -               | -                       | -                        |
+| 68.0723     | 11300    | 4.984         | -               | -                       | -                        |
+| 68.6747     | 11400    | 4.9689        | -               | -                       | -                        |
+| 69.2771     | 11500    | 4.9636        | -               | -                       | -                        |
+| 69.8795     | 11600    | 4.9622        | -               | -                       | -                        |
+| 70.4819     | 11700    | 4.9547        | -               | -                       | -                        |
+| 71.0843     | 11800    | 4.9527        | -               | -                       | -                        |
+| 71.6867     | 11900    | 4.9467        | -               | -                       | -                        |
+| 72.2892     | 12000    | 4.9397        | 5.3186          | 0.6832                  | -                        |
+| 72.8916     | 12100    | 4.9387        | -               | -                       | -                        |
+| 73.4940     | 12200    | 4.9299        | -               | -                       | -                        |
+| 74.0964     | 12300    | 4.9454        | -               | -                       | -                        |
+| 74.6988     | 12400    | 4.9267        | -               | -                       | -                        |
+| 75.3012     | 12500    | 4.9258        | -               | -                       | -                        |
+| 75.9036     | 12600    | 4.9244        | -               | -                       | -                        |
+| 76.5060     | 12700    | 4.9214        | -               | -                       | -                        |
+| 77.1084     | 12800    | 4.9125        | -               | -                       | -                        |
+| 77.7108     | 12900    | 4.9122        | -               | -                       | -                        |
+| 78.3133     | 13000    | 4.9108        | 5.3026          | 0.6840                  | -                        |
+| 78.9157     | 13100    | 4.9073        | -               | -                       | -                        |
+| 79.5181     | 13200    | 4.8944        | -               | -                       | -                        |
+| 80.1205     | 13300    | 4.8987        | -               | -                       | -                        |
+| 80.7229     | 13400    | 4.9013        | -               | -                       | -                        |
+| 81.3253     | 13500    | 4.8915        | -               | -                       | -                        |
+| 81.9277     | 13600    | 4.8883        | -               | -                       | -                        |
+| 82.5301     | 13700    | 4.8861        | -               | -                       | -                        |
+| 83.1325     | 13800    | 4.882         | -               | -                       | -                        |
+| 83.7349     | 13900    | 4.8812        | -               | -                       | -                        |
+| 84.3373     | 14000    | 4.8805        | 5.2968          | 0.6695                  | -                        |
+| 84.9398     | 14100    | 4.8839        | -               | -                       | -                        |
+| 85.5422     | 14200    | 4.8747        | -               | -                       | -                        |
+| 86.1446     | 14300    | 4.8652        | -               | -                       | -                        |
+| 86.7470     | 14400    | 4.8734        | -               | -                       | -                        |
+| 87.3494     | 14500    | 4.872         | -               | -                       | -                        |
+| 87.9518     | 14600    | 4.8621        | -               | -                       | -                        |
+| 88.5542     | 14700    | 4.8599        | -               | -                       | -                        |
+| 89.1566     | 14800    | 4.8649        | -               | -                       | -                        |
+| 89.7590     | 14900    | 4.8621        | -               | -                       | -                        |
+| 90.3614     | 15000    | 4.8483        | 5.2860          | 0.6694                  | -                        |
+| 90.9639     | 15100    | 4.8538        | -               | -                       | -                        |
+| 91.5663     | 15200    | 4.86          | -               | -                       | -                        |
+| 92.1687     | 15300    | 4.8463        | -               | -                       | -                        |
+| 92.7711     | 15400    | 4.8582        | -               | -                       | -                        |
+| 93.3735     | 15500    | 4.8444        | -               | -                       | -                        |
+| 93.9759     | 15600    | 4.8482        | -               | -                       | -                        |
+| 94.5783     | 15700    | 4.848         | -               | -                       | -                        |
+| 95.1807     | 15800    | 4.8489        | -               | -                       | -                        |
+| 95.7831     | 15900    | 4.8403        | -               | -                       | -                        |
+| 96.3855     | 16000    | 4.8425        | 5.2828          | 0.6641                  | -                        |
+| 96.9880     | 16100    | 4.8423        | -               | -                       | -                        |
+| 97.5904     | 16200    | 4.8377        | -               | -                       | -                        |
+| 98.1928     | 16300    | 4.8448        | -               | -                       | -                        |
+| 98.7952     | 16400    | 4.8384        | -               | -                       | -                        |
+| 99.3976     | 16500    | 4.8381        | -               | -                       | -                        |
+| 100.0       | 16600    | 4.8389        | -               | -                       | -                        |
+| -1          | -1       | -             | -               | -                       | 0.7320                   |
+
+* The bold row denotes the saved checkpoint.
+</details>
+
+### Framework Versions
+- Python: 3.12.9
+- Sentence Transformers: 4.0.1
+- Transformers: 4.50.1
+- PyTorch: 2.6.0+cu124
+- Accelerate: 1.5.2
+- Datasets: 3.4.1
+- Tokenizers: 0.21.1
+
+## Citation
+
+### BibTeX
+
+#### Sentence Transformers
+```bibtex
+@inproceedings{reimers-2019-sentence-bert,
+    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
+    author = "Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
+    month = "11",
+    year = "2019",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/1908.10084",
+}
+```
+
+#### DenoisingAutoEncoderLoss
+```bibtex
+@inproceedings{wang-2021-TSDAE,
+    title = "TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning",
+    author = "Wang, Kexin and Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2021",
+    month = nov,
+    year = "2021",
+    address = "Punta Cana, Dominican Republic",
+    publisher = "Association for Computational Linguistics",
+    pages = "671--688",
+    url = "https://arxiv.org/abs/2104.06979",
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

config.json

@@ -0,0 +1,25 @@
+{
+  "architectures": [
+    "BertModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.50.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

config_sentence_transformers.json

@@ -0,0 +1,10 @@
+{
+  "__version__": {
+    "sentence_transformers": "4.0.1",
+    "transformers": "4.50.1",
+    "pytorch": "2.6.0+cu124"
+  },
+  "prompts": {},
+  "default_prompt_name": null,
+  "similarity_fn_name": "cosine"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:165c6f8fd2098d69eb4a036ce3e57998451cab370bef38e038f7e1fc0927180b
+size 437951328

modules.json

@@ -0,0 +1,14 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  }
+]

sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 75,
+  "do_lower_case": false
+}

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,56 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 75,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}