Upload folder using huggingface_hub

1_Pooling/config.json

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+{
+  "word_embedding_dimension": 384,
+  "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
+}

README.md

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+
+---
+library_name: sentence-transformers
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- autotrain
+base_model: sentence-transformers/all-MiniLM-L6-v2
+widget:
+- source_sentence: 'search_query: i love autotrain'
+  sentences:
+  - 'search_query: huggingface auto train'
+  - 'search_query: hugging face auto train'
+  - 'search_query: i love autotrain'
+pipeline_tag: sentence-similarity
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Sentence Transformers
+
+## Validation Metrics
+loss: 0.015061055310070515
+
+validation_pearson_cosine: 0.9472155706694764
+
+validation_spearman_cosine: 0.7500197100461503
+
+runtime: 16.5278
+
+samples_per_second: 11.617
+
+steps_per_second: 0.726
+
+: 3.0
+
+## 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 Hugging Face Hub
+model = SentenceTransformer("sentence_transformers_model_id")
+# Run inference
+sentences = [
+    'search_query: autotrain',
+    'search_query: auto train',
+    'search_query: i love autotrain',
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities.shape)
+```

checkpoint-199/1_Pooling/config.json

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+{
+  "word_embedding_dimension": 384,
+  "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
+}

checkpoint-199/README.md

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+---
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:1592
+- loss:CoSENTLoss
+base_model: sentence-transformers/all-MiniLM-L6-v2
+widget:
+- source_sentence: '1962: Born on July 3 in Syracuse, New York | 1980: In the early
+    1980s, Tom Cruise has a romance with Melissa Gilbert, then Heather Locklear. |
+    1980: Education: Graduated from Shattuck–St. Mary''s School in 1980. | 1981: Obtains
+    his first leading role in Taps | 1983: Appears in American Teenagers, Risky Business,
+    and The Outsiders | 1983: Meets Rebecca De Mornay on the set of Risky Business.
+    | 1986: Consolidation with Top Gun | 1986: Converted to Scientology by Mimi Rogers
+    | 1986: Becomes famous with Top Gun | 1986: First major role in The Color of Money
+    | 1986: Inaugurates his star on the Walk of Fame | 1986: Member of the Church
+    of Scientology International since 1986 | 1986: Wears Aviator Ray-Ban glasses
+    | 1986: First role in The Color of Money'
+  sentences:
+  - '2001: Graduated from York University in 2001 with a BFA in theatre. | 2004: Starred
+    in the comedy film Mean Girls as Regina George. | 2004: Starred in The Notebook
+    with Ryan Gosling | 2005: Starred in Red Eye with Cillian Murphy | 2005: Starred
+    in the romantic comedy Wedding Crashers, the psychological thriller Red Eye, and
+    the comedy-drama The Family Sto | 2005: Starred in Wedding Crashers with Owen
+    Wilson, Vince Vaughn, and Bradley Cooper | 2005: volunteered in Biloxi, Mississippi,
+    and Louisiana for clean-up following Hurricane Katrina | 2005: Won MTV Movie Award
+    and four Teen Choice Awards | 2006: One-off stage appearance in The Vagina Monologues
+    at St. Lawrence Centre for the Arts, Toronto | 2006: Received a Rising Star Award
+    nomination from the British Academy of Film and Television Arts | 2006: Turned
+    down roles in The Devil Wears Prada, Casino Royale, Mission: Impossible III, Iron
+    Man, and Get Smart (2006-2008) | 2007: sat on a TreeHugger/Live Earth judging
+    panel | 2008: Starred in Married Life with Pierce Brosnan and Chris Cooper | 2009:
+    Starred in Sherlock Holmes with Robert Downey, Jr. and Jude Law'
+  - '1962: Born on July 3 in Syracuse, New York | 1980: Education: Graduated from
+    Shattuck–St. Mary''s School in 1980. | 1986: Converted to Scientology by Mimi
+    Rogers | 1986: First major role in The Color of Money | 1987: Married Mimi Rogers
+    on May 9, 1987 | 1988: Starred in Rain Man | 1989: Portrayed Ron Kovic in ''Born
+    on the Fourth of July'' | 1990: Married Nicole Kidman on December 24, 1990 | 1990:
+    Met Nicole Kidman on set of Days of Thunder | 1990: Starred in ''Days of Thunder''
+    | 1992: Publicly announced following Scientology | 1994: Starred in ''Interview
+    with the Vampire'' | 1996: Starred as Ethan Hunt in ''Mission: Impossible'' |
+    1999: Marty Rathbun was sent to convince him to return to the Church'
+  - '1988: Born in Paris | 2016: First breakthrough in Heaven Will Wait | 2019: Starred
+    in Portrait of a Lady on Fire | 2019: Won Lumière Award for Best Actress | 2021:
+    Made feature directorial debut with Mi Iubita Mon Amour | 2022: Portrayed Francesca
+    Lentini in Tár | 2023: Announced to play Emmanuelle in reboot | 2023: Invited
+    to become a member of the Academy of Motion Picture Arts and Sciences | NA: Parents
+    are real estate agents | NA: Raised in Rezé near Nantes'
+- source_sentence: '1988: Born in Paris | 2006: returns to Paris | 2008: begins her
+    career | 2009: plays Éléonore in L''Orpheline with an additional arm | 2013: selected
+    to play in a short film | 2016: First breakthrough in Heaven Will Wait | 2019:
+    career breakthrough with ''Portrait de la jeune fille en feu'' | 2019: wins the
+    Lumière Award for Best Actress | 2019: film receives the screenplay prize at the
+    Cannes Film Festival | 2019: plays Marianne in ''Portrait de la jeune fille en
+    feu'' | 2019: Starred in Portrait of a Lady on Fire | 2019: wins the Lumière Award
+    for Best Actress | 2020: plays the role of an autistic young woman in ''Jumbo''
+    | 2020: presents her second short film, Shakira'
+  sentences:
+  - '1981: Born on 9 February in Westminster, London | 1981: Born on February 9 in
+    London | 1999: Debut in Journey''s End | 2005: Graduated from Royal Academy of
+    Dramatic Art | 2006: First film role in Unrelated | 2007: Started boarding at
+    Windlesham House School | 2007: Won Laurence Olivier Award for Best Newcomer in
+    a Play | 2008: Began career with Inspector Wallander | 2010: International celebrity
+    | 2011: First career milestone: Midnight in Paris, War Horse | 2011: Nominated
+    for BAFTA Rising Star Award | 2011: Portrayed Loki in Thor | 2011: Major role
+    in Thor | 2011: Voiceover: The Ancient Egyptian Book of the Dead'
+  - '1967: Born in Shirebrook, Derbyshire, England on 26 July | 1978: Attended local
+    grammar school | 1990: Competed for England in the 1990 Commonwealth Games | 1998:
+    Casted in Lock, Stock and Two Smoking Barrels | 2000: Casted in Snatch | 2010:
+    Casted in The Expendables | 2011: First career milestone - The Mechanic | 2012:
+    Awards - Box office success | 2013: Advocated for stunt performers at Academy
+    Awards (2013) | 2013: Cameo - Fast & Furious 6 | 2013: Casted in Fast & Furious
+    franchise | 2014: Inducted into International Sports Hall of Fame (2014) | 2016:
+    Engaged to Rosie Huntington-Whiteley (2016) | 2017: Son born (2017)'
+  - '1981: Born on 9 February in Westminster, London | 1999: Debut in Journey''s End
+    | 2005: Graduated from Royal Academy of Dramatic Art | 2006: First film role in
+    Unrelated | 2007: Started boarding at Windlesham House School | 2007: Won Laurence
+    Olivier Award for Best Newcomer in a Play | 2011: First career milestone: Midnight
+    in Paris, War Horse | 2011: Nominated for BAFTA Rising Star Award | 2011: Portrayed
+    Loki in Thor | 2011: Voiceover: The Ancient Egyptian Book of the Dead | 2012:
+    Television: The Hollow Crown | 2013: Film: Thor: The Dark World | 2013: Traveled
+    to Guinea to raise awareness about hunger and malnutrition | 2014: Film: Muppets
+    Most Wanted'
+- source_sentence: '1979: Born in Guatemala City | 2005: Graduated from Juilliard
+    | 2005: Played Proteus in Two Gentlemen of Verona | 2006: First major role in
+    The Nativity Story | 2006: had a small role in The Pacifier | 2007: Engaged to
+    Maria Miranda in 2007 | 2007: Played Romeo in Romeo and Juliet | 2008: had his
+    first turn under the direction of a Hollywood big director | 2009: won the AACTA
+    Award for Best Actor in a Supporting Role for Balibo | 2010: Played King John
+    in Robin Hood | 2011: Played a security guard in Madonna''s W.E. | 2012: Nominated
+    for ALMA Award for Favorite Movie Actor – Supporting Role for For Greater Glory
+    | 2013: confirmed with Llewyn Davis in Inside Llewyn Davis | 2013: Nominated for
+    Golden Globe Award for Best Actor – Motion Picture Musical or Comedy for Inside
+    Llewyn Davis'
+  sentences:
+  - '1980: Born in London, Ontario, Canada | 1993: Joined The All New Mickey Mouse
+    Club | 1995: Returned to Canada | 1996: Appeared in Goosebumps | 1998: Filmed
+    Young Hercules in New Zealand | 2000: Debuts in cinema in ''The Most Beautiful
+    Thing'' | 2000: Film breakthrough in Remember the Titans | 2000: Published solo
+    album ''Angel With Tatooed Wings'' | 2001: Lead role in The Believer | 2002: Co-star
+    in Murder by Numbers | 2002: Co-star in The Slaughter Rule | 2003: Starred in
+    The United States of Leland | 2004: Achieved mainstream popularity for The Notebook
+    | 2004: Signed with Terrence Malick for Che (2004)'
+  - '1962: Born on July 3 in Syracuse, New York | 1980: In the early 1980s, Tom Cruise
+    has a romance with Melissa Gilbert, then Heather Locklear. | 1980: Education:
+    Graduated from Shattuck–St. Mary''s School in 1980. | 1981: Obtains his first
+    leading role in Taps | 1983: Appears in American Teenagers, Risky Business, and
+    The Outsiders | 1983: Meets Rebecca De Mornay on the set of Risky Business. |
+    1986: Consolidation with Top Gun | 1986: Converted to Scientology by Mimi Rogers
+    | 1986: Becomes famous with Top Gun | 1986: First major role in The Color of Money
+    | 1986: Inaugurates his star on the Walk of Fame | 1986: Member of the Church
+    of Scientology International since 1986 | 1986: Wears Aviator Ray-Ban glasses
+    | 1986: First role in The Color of Money'
+  - '1979: Born in Guatemala City | 2005: Graduated from Juilliard | 2005: Played
+    Proteus in Two Gentlemen of Verona | 2006: First major role in The Nativity Story
+    | 2007: Engaged to Maria Miranda in 2007 | 2007: Played Romeo in Romeo and Juliet
+    | 2009: Won AACTA Award for Best Actor in a Supporting Role | 2009: Won AACTA
+    Award for Best Actor in a Supporting Role for Balibo | 2010: Played King John
+    in Robin Hood | 2011: Played a security guard in Madonna''s W.E. | 2012: Nominated
+    for ALMA Award for Favorite Movie Actor – Supporting Role for For Greater Glory
+    | 2013: Nominated for Golden Globe Award for Best Actor – Motion Picture Musical
+    or Comedy for Inside Llewyn Davis | 2014: Starred in A Most Violent Year | 2014:
+    Starred in The Two Faces of January'
+- source_sentence: '1986: Personal relationship with Zhang Yimou started in 1986 |
+    1987: Debut in Zhang Yimou''s Red Sorghum | 1989: Enrolled at Central Academy
+    of Drama in Beijing | 1989: Graduated from Central Academy of Drama | 1990: Won
+    Best Actress at Varna International Film Festival for Ju Dou | 1991: Won Hundred
+    Flowers Awards for Best Actress for Raise the Red Lantern | 1992: Won Golden Lion
+    at Venice Film Festival for The Story of Qiu Ju | 1993: Won New York Film Critics
+    Circle award for Farewell My Concubine | 1994: Won Grand Prix at Cannes Film Festival
+    for To Live | 1995: Shanghai Triad, 7th collaboration with Zhang Yimou | 1996:
+    1996: Collaborated with Chen Kaige on Temptress Moon | 1996: 1996: Nominated for
+    Best Actress at Hong Kong Film Awards | 1996: Married Ooi Hoe Seong in November
+    1996 | 1997: 1997: Invited to be a jury at 1997 Cannes Film Festival'
+  sentences:
+  - '1985: admitted to the Central Academy of Drama in Beijing | 1986: Personal relationship
+    with Zhang Yimou started in 1986 | 1987: Debut in Zhang Yimou''s Red Sorghum |
+    1988: first role in 1988, Red Sorghum | 1989: Enrolled at Central Academy of Drama
+    in Beijing | 1989: Graduated from Central Academy of Drama | 1990: participates
+    in Ju Dou | 1990: Won Best Actress at Varna International Film Festival for Ju
+    Dou | 1991: Won Hundred Flowers Awards for Best Actress for Raise the Red Lantern
+    | 1992: wins the Volpi Cup for Best Actress at the 49th Venice Film Festival |
+    1992: Won Golden Lion at Venice Film Festival for The Story of Qiu Ju | 1993:
+    Won New York Film Critics Circle award for Farewell My Concubine | 1994: Won Grand
+    Prix at Cannes Film Festival for To Live | 1995: separation from Zhang Yimou'
+  - '1964: Born on July 26, 1964, in Arlington County, Virginia | 1982: attends at
+    Washington-Liberty High School | 1982: Graduated from Washington-Lee High School
+    | 1987: Moved to Manhattan, New York | 1987: obtains a BFA in dramatic art from
+    East Carolina University in Greenville | 1989: Cameos in Bionic Showdown: The
+    Six Million Dollar Man and the Bionic Woman | 1993: gets the role of Lieutenant
+    Lenina Huxley in Demolition Man | 1994: plays a bus driver in Speed | 1994: Lead
+    role in Speed | 1995: Headlined While You Were Sleeping | 1995: leads in Love
+    at First Sight | 1995: Won Best Actress at the 21st Saturn Awards | 1996: Starred
+    in A Time to Kill | 1996: is in the cast of The Right to Kill?'
+  - '1986: Personal relationship with Zhang Yimou started in 1986 | 1987: Debut in
+    Zhang Yimou''s Red Sorghum | 1989: Enrolled at Central Academy of Drama in Beijing
+    | 1989: Graduated from Central Academy of Drama | 1990: Won Best Actress at Varna
+    International Film Festival for Ju Dou | 1991: Won Hundred Flowers Awards for
+    Best Actress for Raise the Red Lantern | 1992: Won Golden Lion at Venice Film
+    Festival for The Story of Qiu Ju | 1993: Won New York Film Critics Circle award
+    for Farewell My Concubine | 1994: Won Grand Prix at Cannes Film Festival for To
+    Live | 1995: Shanghai Triad, 7th collaboration with Zhang Yimou | 1996: 1996:
+    Collaborated with Chen Kaige on Temptress Moon | 1996: 1996: Nominated for Best
+    Actress at Hong Kong Film Awards | 1996: Married Ooi Hoe Seong in November 1996
+    | 1997: 1997: Invited to be a jury at 1997 Cannes Film Festival'
+- source_sentence: '1981: Born on 9 February in Westminster, London | 1999: Debut
+    in Journey''s End | 2005: Graduated from Royal Academy of Dramatic Art | 2006:
+    First film role in Unrelated | 2007: Started boarding at Windlesham House School
+    | 2007: Won Laurence Olivier Award for Best Newcomer in a Play | 2011: First career
+    milestone: Midnight in Paris, War Horse | 2011: Nominated for BAFTA Rising Star
+    Award | 2011: Portrayed Loki in Thor | 2011: Voiceover: The Ancient Egyptian Book
+    of the Dead | 2012: Television: The Hollow Crown | 2013: Film: Thor: The Dark
+    World | 2013: Traveled to Guinea to raise awareness about hunger and malnutrition
+    | 2014: Film: Muppets Most Wanted'
+  sentences:
+  - '1959: Born in Los Angeles, California | 1961: Born in Indianapolis, Indiana |
+    1968: Parents divorced in 1968 | 1977: Younger brother Wesley died at 16 | 1983:
+    Appeared in The Slab Boys | 1985: Played lead in Real Genius | 1988: Married Joanne
+    Whalley | 1990: Debut as Jim Morrison in ''The Doors'' | 1993: Played Doc Holliday
+    in ''Tombstone'' | 1995: Starred in ''Wings of Courage'' and ''Heat'' | 1996:
+    Decided not to return for another ''Batman'' film | 1996: Divorced Joanne Whalley
+    | 1998: Traveled to Iraq with AmeriCares to deliver humanitarian aid | 1998: Voiced
+    Moses and God in ''The Prince of Egypt'''
+  - '1970: Born on 7 March in Westminster, London | 1983: education at North London
+    Collegiate School | 1986: education at Benenden School | 1988: Graduated from
+    Trinity Hall, Cambridge with upper second-class honours | 1990: studies at Trinity
+    Hall, University of Cambridge | 1994: Stage debut in ''Design for Living'' | 1999:
+    lands the role of Evelyn Carnahan in The Mummy | 1999: International breakthrough
+    in ''The Mummy'' | 1999: lives with Sam Mendes | 2001: Began dating Darren Aronofsky
+    | 2004: Appeared in the comedy Envy | 2005: Starred in The Constant Gardener |
+    2005: Won Laurence Olivier Award for Best Actress for ''A Streetcar Named Desire''
+    | 2006: Received BAFTA Britannia Award for British Artist of the Year'
+  - '1989: Born on 23 July in Queen Charlotte''s and Chelsea Hospital, London | 2000:
+    Auditioned for the role of Harry Potter in the film adaptation of Harry Potter
+    and the Philosopher''s Stone | 2001: Debut in the film ''The Tailor of Panama''
+    | 2001: Received a seven-figure salary for the lead role in ''Harry Potter and
+    the Philosopher''s Stone'' | 2002: Starred in ''Harry Potter and the Chamber of
+    Secrets'' | 2004: Starred in ''Harry Potter and the Prisoner of Azkaban'' | 2005:
+    Starred in ''Harry Potter and the Goblet of Fire'' | 2007: Signed on for the final
+    Harry Potter films | 2008: Auctioned jeans for Broadway Cares/Equity Fights AIDS
+    | 2008: revealed having dyspraxia in 2008 | 2011: Received The Trevor Project''s
+    Hero Award | 2012: Starred in The Woman in Black | 2013: accidentally drank antifreeze
+    in 2013 | 2015: Starred in Victor Frankenstein'
+pipeline_tag: sentence-similarity
+library_name: sentence-transformers
+metrics:
+- pearson_cosine
+- spearman_cosine
+model-index:
+- name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
+  results:
+  - task:
+      type: semantic-similarity
+      name: Semantic Similarity
+    dataset:
+      name: validation
+      type: validation
+    metrics:
+    - type: pearson_cosine
+      value: 0.9472155706694764
+      name: Pearson Cosine
+    - type: spearman_cosine
+      value: 0.7500197100461503
+      name: Spearman Cosine
+---
+
+# SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2). It maps sentences & paragraphs to a 384-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:** [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) <!-- at revision c9745ed1d9f207416be6d2e6f8de32d1f16199bf -->
+- **Maximum Sequence Length:** 256 tokens
+- **Output Dimensionality:** 384 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': 256, 'do_lower_case': False}) with Transformer model: BertModel 
+  (1): Pooling({'word_embedding_dimension': 384, '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})
+  (2): Normalize()
+)
+```
+
+## 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("sentence_transformers_model_id")
+# Run inference
+sentences = [
+    "1981: Born on 9 February in Westminster, London | 1999: Debut in Journey's End | 2005: Graduated from Royal Academy of Dramatic Art | 2006: First film role in Unrelated | 2007: Started boarding at Windlesham House School | 2007: Won Laurence Olivier Award for Best Newcomer in a Play | 2011: First career milestone: Midnight in Paris, War Horse | 2011: Nominated for BAFTA Rising Star Award | 2011: Portrayed Loki in Thor | 2011: Voiceover: The Ancient Egyptian Book of the Dead | 2012: Television: The Hollow Crown | 2013: Film: Thor: The Dark World | 2013: Traveled to Guinea to raise awareness about hunger and malnutrition | 2014: Film: Muppets Most Wanted",
+    "1970: Born on 7 March in Westminster, London | 1983: education at North London Collegiate School | 1986: education at Benenden School | 1988: Graduated from Trinity Hall, Cambridge with upper second-class honours | 1990: studies at Trinity Hall, University of Cambridge | 1994: Stage debut in 'Design for Living' | 1999: lands the role of Evelyn Carnahan in The Mummy | 1999: International breakthrough in 'The Mummy' | 1999: lives with Sam Mendes | 2001: Began dating Darren Aronofsky | 2004: Appeared in the comedy Envy | 2005: Starred in The Constant Gardener | 2005: Won Laurence Olivier Award for Best Actress for 'A Streetcar Named Desire' | 2006: Received BAFTA Britannia Award for British Artist of the Year",
+    "1959: Born in Los Angeles, California | 1961: Born in Indianapolis, Indiana | 1968: Parents divorced in 1968 | 1977: Younger brother Wesley died at 16 | 1983: Appeared in The Slab Boys | 1985: Played lead in Real Genius | 1988: Married Joanne Whalley | 1990: Debut as Jim Morrison in 'The Doors' | 1993: Played Doc Holliday in 'Tombstone' | 1995: Starred in 'Wings of Courage' and 'Heat' | 1996: Decided not to return for another 'Batman' film | 1996: Divorced Joanne Whalley | 1998: Traveled to Iraq with AmeriCares to deliver humanitarian aid | 1998: Voiced Moses and God in 'The Prince of Egypt'",
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 384]
+
+# 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
+
+* Dataset: `validation`
+* Evaluated with [<code>EmbeddingSimilarityEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.EmbeddingSimilarityEvaluator)
+
+| Metric              | Value    |
+|:--------------------|:---------|
+| pearson_cosine      | 0.9472   |
+| **spearman_cosine** | **0.75** |
+
+<!--
+## 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: 1,592 training samples
+* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
+* Approximate statistics based on the first 1000 samples:
+  |         | sentence1                                                                            | sentence2                                                                            | score                                           |
+  |:--------|:-------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------|:------------------------------------------------|
+  | type    | string                                                                               | string                                                                               | int                                             |
+  | details | <ul><li>min: 59 tokens</li><li>mean: 159.23 tokens</li><li>max: 248 tokens</li></ul> | <ul><li>min: 59 tokens</li><li>mean: 160.39 tokens</li><li>max: 248 tokens</li></ul> | <ul><li>0: ~76.30%</li><li>1: ~23.70%</li></ul> |
+* Samples:
+  | sentence1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    | sentence2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               | score          |
+  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
+  | <code>1940: Born on April 25, 1940, in Spanish Harlem, New York, United States | 1962: Mother died at the age of 43. | 1962: Loses his mother at 22 years old | 1963: Maternal grandfather died. | 1966: Joins the Actors Studio | 1966: Successfully auditioned for the Actors Studio. | 1967: Artistic career begins on stage | 1967: Plays in Awake and Sing! by Clifford Odets | 1968: Wins an Obie Award for The Indian Wants the Bronx | 1969: Makes his film debut in Me, Natalie | 1969: First Broadway performance | 1971: Does not marry Marcheline Bertrand in 1971 | 1971: Obtains the lead role in Panic at Needle Park | 1972: Portrays Michael Corleone in The Godfather</code>                                                                                                                                               | <code>1954: Secured first role in a play titled Spell for a Rhyme | 1986: Born on 13 May in Barnes, London, England | 2004: First film role in Mira Nair's Vanity Fair | 2005: Cedric Diggory in Harry Potter and the Goblet of Fire | 2008: Attended drama school | 2008: Portrayed Salvador Dalí in Little Ashes | 2009: Documentary Robsessed released | 2009: Presented at 81st Academy Awards | 2009: Reprised role as Edward Cullen in New Moon | 2010: declined £1 million deal to become the face of Burberry | 2010: Participates in Hope for Haiti Now: A Global Benefit for Earthquake Relief charity telethon | 2010: Starred in Remember Me | 2010: Won BBC Radio 1 Teen Awards for Best Dressed and Best Actor | 2011: Raises $80,000 for GO Campaign by auctioning private screening of The Twilight Saga: Breaking Dawn – Part 1</code> | <code>0</code> |
+  | <code>1960: Born in Berchem-Sainte-Agathe, Brussels, Belgium | 1960: Born on October 18 in Berchem-Sainte-Agathe | 1977: Karate lightweight champion | 1978: Bodybuilder, won Mr. Belgium bodybuilding Championships (1978) | 1979: Won middleweight championship of the European Professional Karate Association | 1980: Karate tournament champion (Silver) | 1982: Emigrates to the United States | 1982: Moved to the United States | 1982: Moved to the US with childhood friend Michel Qissi to work as actors | 1984: Danced in the background in the film 'Breakin' | 1984: Worked as a bouncer at Woody's Wharf owned by Chuck Norris | 1986: Cameos in 'No Retreat, No Surrender' | 1986: Marries Gladys Portugues, two children born (Kristopher, Bianca) | 1987: Worked as an early version of the Predator in 'Predator'</code> | <code>1951: Born in London, England | 1959: Born on 11 June in Blackbird Leys, Oxford, England | 1980: Achieved a Blue while taking part in the 1980 Oxford and Cambridge Boat Race | 1980: Final year at university, president of the Footlights | 1981: Graduated with third-class honours in 1981 | 1982: Won the first Perrier Comedy Award | 1985: Starred in Letters from a Bomber Pilot | 1986: Appeared in three series of the period comedy Blackadder | 1989: Married Jo Green | 1989: Mother died from motor neurone disease | 2004: Starred as Dr. Gregory House in House | 2004: Starred as Dr. Gregory House on the Fox medical drama series House | 2005: Nominated for an Emmy Award for House | 2006: Hosted Saturday Night Live (2006)</code>                                                                                         | <code>0</code> |
+  | <code>1959: Born in Hammersmith, London | 1959: born on April 15 in London | 1977: Started studying at Newnham College, Cambridge | 1980: Served as Vice President of Footlights | 1982: First professional role in Not the Nine O'Clock News | 1983: Starred in the BBC series Alfresco | 1985: plays in Me and My Girl | 1985: Starred in the West End revival of Me and My Girl | 1985: Wrote and starred in Emma Thompson: Up for Grabs | 1987: Leading roles in Fortunes of War and Tutti Frutti | 1987: Met Kenneth Branagh while filming Fortunes of War | 1987: Won BAFTA TV Award for Best Actress | 1989: appears in The Tall Guy | 1989: Cinema debut in The Tall Guy</code>                                                                                                                                                      | <code>1959: Born in South Orange, New Jersey | 1976: Worked on Jimmy Carter's 1976 presidential campaign | 1977: Graduated co-valedictorian from Chatsworth High School | 1979: Studied drama at Juilliard School | 1981: First professional stage appearance in Henry VI, Part 1 | 1986: First film appearance in Heartburn | 1991: Won Tony Award for Lost in Yonkers | 1992: Casted as malevolent office manager in Glengarry Glen Ross | 1994: Played Connecticut couple in The Ref | 1994: Played news reporter Harry Kingsley in Iron Will | 1995: Appeared in Seven | 1995: Played enigmatic criminal Verbal Kint in The Usual Suspects | 1995: Played malicious Hollywood studio boss in Swimming with Sharks | 1995: Won Academy Award for Best Supporting Actor</code>                                                                        | <code>0</code> |
+* Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
+  ```json
+  {
+      "scale": 20.0,
+      "similarity_fct": "pairwise_cos_sim"
+  }
+  ```
+
+### Evaluation Dataset
+
+#### Unnamed Dataset
+
+
+* Size: 192 evaluation samples
+* Columns: <code>sentence1</code>, <code>sentence2</code>, and <code>score</code>
+* Approximate statistics based on the first 192 samples:
+  |         | sentence1                                                                             | sentence2                                                                             | score                                           |
+  |:--------|:--------------------------------------------------------------------------------------|:--------------------------------------------------------------------------------------|:------------------------------------------------|
+  | type    | string                                                                                | string                                                                                | int                                             |
+  | details | <ul><li>min: 109 tokens</li><li>mean: 158.88 tokens</li><li>max: 251 tokens</li></ul> | <ul><li>min: 109 tokens</li><li>mean: 161.86 tokens</li><li>max: 251 tokens</li></ul> | <ul><li>0: ~75.00%</li><li>1: ~25.00%</li></ul> |
+* Samples:
+  | sentence1                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                | sentence2                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  | score          |
+  |:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|
+  | <code>2001: Graduated from York University in 2001 with a BFA in theatre. | 2004: Starred in the comedy film Mean Girls as Regina George. | 2004: Starred in The Notebook with Ryan Gosling | 2005: Starred in Red Eye with Cillian Murphy | 2005: Starred in the romantic comedy Wedding Crashers, the psychological thriller Red Eye, and the comedy-drama The Family Sto | 2005: Starred in Wedding Crashers with Owen Wilson, Vince Vaughn, and Bradley Cooper | 2005: volunteered in Biloxi, Mississippi, and Louisiana for clean-up following Hurricane Katrina | 2005: Won MTV Movie Award and four Teen Choice Awards | 2006: One-off stage appearance in The Vagina Monologues at St. Lawrence Centre for the Arts, Toronto | 2006: Received a Rising Star Award nomination from the British Academy of Film and Television Arts | 2006: Turned down roles in The Devil Wears Prada, Casino Royale, Mission: Impossible III, Iron Man, and Get Smart (2006-2008) | 2007: sat on a TreeHugger/Live Earth judging panel | 2008: Starred...</code> | <code>1988: born on November 6 in Scottsdale (Arizona) | 2004: Debut on television in In Search of the New Partridge Family | 2004: made her acting debut in 2004 | 2007: Feature film debut in Superbad | 2009: Moved from Los Angeles to Greenwich Village, New York | 2009: got her first major role in the comedy Easy Girl | 2009: Starred in Paper Man | 2009: Starred in Zombieland | 2009: lived in Los Angeles for 5 years | 2010: dated Kieran Culkin (1 year) | 2010: Hosted Saturday Night Live | 2010: Voice role in Marmaduke | 2011: joined the cast of La La Land | 2011: Starred in Crazy, Stupid, Love and The Help</code>                                                                                                                                                                                                                                               | <code>0</code> |
+  | <code>1970: Born on May 25 in Montgomery, Alabama | 1988: Graduated from Jefferson Davis High School | 1996: Made film debut as a nurse in A Time to Kill | 2012: Won Academy Award for Best Supporting Actress for The Help | 2012: Won BAFTA for Best Supporting Actress for The Help | 2013: Won National Board of Review Award for Best Supporting Actress for Fruitvale Station | 2016: Starred in Hidden Figures, won Golden Globe and Screen Actors Guild Award | 2017: Co-starred with Sally Hawkins in The Shape of Water | 2017: Described herself as Southern Baptist in 2017 | 2017: Earned Golden Globe and BAFTA Award nominations for The Shape of Water | 2017: Starred in The Shack and Gifted | 2017: The Shape of Water premiered at 74th Venice International Film Festival | 2018: Starring roles in A Kid Like Jake and Instant Family | 2019: Executive produced and starred in Green Book</code>                                                                                                                                 | <code>1962: Born on 6 August in Ipoh, Perak, Malaysia | 1977: sent to boarding school in London | 1983: wins the title of Miss Malaysia and Miss Moomba | 1983: Won Miss Malaysia World beauty contest | 1984: lands her first role in Police Story 2 | 1985: First lead role in Yes, Madam | 1986: stars in Duty Bound and Magnificent Warriors | 1987: Married Dickson Poon | 1988: Married Dickson Poon from 1988 to 1992 | 1990: divorces Dickson Poon | 1995: decides to expand her range to drama | 1997: Starred in Tomorrow Never Dies | 1998: Dated Alan Heldman from 1998 to 2000 | 2000: Starred in Crouching Tiger, Hidden Dragon</code>                                                                                                                                                                                                                                       | <code>0</code> |
+  | <code>1985: admitted to the Central Academy of Drama in Beijing | 1986: Personal relationship with Zhang Yimou started in 1986 | 1987: Debut in Zhang Yimou's Red Sorghum | 1988: first role in 1988, Red Sorghum | 1989: Enrolled at Central Academy of Drama in Beijing | 1989: Graduated from Central Academy of Drama | 1990: participates in Ju Dou | 1990: Won Best Actress at Varna International Film Festival for Ju Dou | 1991: Won Hundred Flowers Awards for Best Actress for Raise the Red Lantern | 1992: wins the Volpi Cup for Best Actress at the 49th Venice Film Festival | 1992: Won Golden Lion at Venice Film Festival for The Story of Qiu Ju | 1993: Won New York Film Critics Circle award for Farewell My Concubine | 1994: Won Grand Prix at Cannes Film Festival for To Live | 1995: separation from Zhang Yimou</code>                                                                                                                                                                                                      | <code>1989: Born on 23 July in Queen Charlotte's and Chelsea Hospital, London | 2000: Auditioned for the role of Harry Potter in the film adaptation of Harry Potter and the Philosopher's Stone | 2001: Debut in the film 'The Tailor of Panama' | 2001: Received a seven-figure salary for the lead role in 'Harry Potter and the Philosopher's Stone' | 2002: Starred in 'Harry Potter and the Chamber of Secrets' | 2004: Starred in 'Harry Potter and the Prisoner of Azkaban' | 2005: Starred in 'Harry Potter and the Goblet of Fire' | 2007: Signed on for the final Harry Potter films | 2008: Auctioned jeans for Broadway Cares/Equity Fights AIDS | 2008: revealed having dyspraxia in 2008 | 2011: Received The Trevor Project's Hero Award | 2012: Starred in The Woman in Black | 2013: accidentally drank antifreeze in 2013 | 2015: Starred in Victor Frankenstein</code> | <code>0</code> |
+* Loss: [<code>CoSENTLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#cosentloss) with these parameters:
+  ```json
+  {
+      "scale": 20.0,
+      "similarity_fct": "pairwise_cos_sim"
+  }
+  ```
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: epoch
+- `per_device_eval_batch_size`: 16
+- `learning_rate`: 3e-05
+- `warmup_ratio`: 0.1
+- `fp16`: True
+- `load_best_model_at_end`: True
+- `ddp_find_unused_parameters`: False
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: epoch
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 8
+- `per_device_eval_batch_size`: 16
+- `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`: 3
+- `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`: 0
+- `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}
+- `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`: False
+- `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
+| Epoch  | Step | Training Loss | Validation Loss | validation_spearman_cosine |
+|:------:|:----:|:-------------:|:---------------:|:--------------------------:|
+| 0.1256 | 25   | 0.0532        | -               | -                          |
+| 0.2513 | 50   | 0.0006        | -               | -                          |
+| 0.3769 | 75   | 0.0027        | -               | -                          |
+| 0.5025 | 100  | 0.0257        | -               | -                          |
+| 0.6281 | 125  | 0.0021        | -               | -                          |
+| 0.7538 | 150  | 0.0043        | -               | -                          |
+| 0.8794 | 175  | 0.0074        | -               | -                          |
+| 1.0    | 199  | -             | 0.0151          | 0.7500                     |
+
+
+### Framework Versions
+- Python: 3.10.16
+- Sentence Transformers: 3.3.1
+- Transformers: 4.48.0
+- PyTorch: 2.4.0
+- Accelerate: 1.2.1
+- Datasets: 3.2.0
+- Tokenizers: 0.21.0
+
+## 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",
+}
+```
+
+#### CoSENTLoss
+```bibtex
+@online{kexuefm-8847,
+    title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
+    author={Su Jianlin},
+    year={2022},
+    month={Jan},
+    url={https://kexue.fm/archives/8847},
+}
+```
+
+<!--
+## 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.*
+-->

checkpoint-199/config.json

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+  "architectures": [
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+}

checkpoint-199/config_sentence_transformers.json

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checkpoint-199/sentence_bert_config.json

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+  "max_seq_length": 256,
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checkpoint-199/special_tokens_map.json

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checkpoint-199/tokenizer_config.json

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+}

checkpoint-199/trainer_state.json

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