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metadata
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - generated_from_trainer
  - dataset_size:32382
  - loss:MultipleNegativesRankingLoss
base_model: BAAI/bge-base-en-v1.5
widget:
  - source_sentence: >-
      What are some must-watch animation films from the 2000s reflecting on
      dying and death and loss of loved one
    sentences:
      - >-
        Title: Che: Part One

        Genres: Drama, History, War

        Overview: The Argentine, begins as Che and a band of Cuban exiles (led
        by Fidel Castro) reach the Cuban shore from Mexico in 1956. Within two
        years, they mobilized popular support and an army and toppled the
        U.S.-friendly regime of dictator Fulgencio Batista.

        Tagline: Everyone knows the icon. Few know the man.

        Director: Steven Soderbergh

        Stars: Benicio del Toro, Demián Bichir, Santiago Cabrera

        Release Date: 2008-09-05

        Keywords: hero, central intelligence agency (cia), cuba, biography, che
        guevara, fidel castro, cuban revolution, 1950s
      - >-
        Title: Ice Age

        Genres: Animation, Comedy, Family, Adventure

        Overview: With the impending ice age almost upon them, a mismatched trio
        of prehistoric critters  Manny the woolly mammoth, Diego the
        saber-toothed tiger and Sid the giant sloth  find an orphaned infant
        and decide to return it to its human parents. Along the way, the
        unlikely allies become friends but, when enemies attack, their quest
        takes on far nobler aims.

        Tagline: They came. They thawed. They conquered.

        Director: Chris Wedge

        Stars: Ray Romano, John Leguizamo, Denis Leary

        Release Date: 2002-03-10

        Keywords: dying and death, human evolution, parent child relationship,
        squirrel, loss of loved one, mammoth, sloth, villain, stone age,
        prehistory, prehistoric creature, saber-toothed tiger, cavemen, road
        movie, neanderthal, prehistoric man, dodo bird, nut, ground sloth,
        cheerful
      - >-
        Title: Castle in the Sky

        Genres: Adventure, Fantasy, Animation, Action, Family

        Overview: A young boy and a girl with a magic crystal must race against
        pirates and foreign agents in a search for a legendary floating castle.

        Tagline: One day, a girl came down from the sky…

        Director: Hayao Miyazaki

        Stars: Keiko Yokozawa, Mayumi Tanaka, Minori Terada

        Release Date: 1986-08-02

        Keywords: army, flying, magic, mine, castle, lost civilisation, pirate,
        orphan, government agent, floating, pendant, blue sky, air pirate,
        crystal, anime, adventure, amused
  - source_sentence: >-
      Stories of desperate characters lured into a life of crime for financial
      gain.
    sentences:
      - >-
        Title: Emily the Criminal

        Genres: Crime, Drama, Thriller

        Overview: Desperate for income, Emily takes a shady gig buying goods
        with stolen credit cards supplied by a charismatic middleman named
        Youcef. Seduced by the quick cash and illicit thrills, they hatch a plan
        to take their business to the next level.

        Tagline: High risks come with even higher rewards.

        Director: John Patton Ford

        Stars: Aubrey Plaza, Theo Rossi, Megalyn Echikunwoke

        Release Date: 2022-08-12

        Keywords: job interview, organized crime, los angeles, california,
        criminal underworld, credit card fraud, criminal record, food delivery,
        student debt
      - >-
        Title: The Mummy

        Genres: Adventure, Action, Fantasy

        Overview: Dashing legionnaire Rick O'Connell stumbles upon the hidden
        ruins of Hamunaptra while in the midst of a battle to claim the area in
        1920s Egypt. It has been over three thousand years since former High
        Priest Imhotep suffered a fate worse than death as a punishment for a
        forbidden love—along with a curse that guarantees eternal doom upon the
        world if he is ever awoken.

        Tagline: The sands will rise. The heavens will part. The power will be
        unleashed.

        Director: Stephen Sommers

        Stars: Brendan Fraser, Rachel Weisz, John Hannah

        Release Date: 1999-04-16

        Keywords: egypt, cairo, library, secret passage, pastor, pyramid,
        sandstorm, solar eclipse, mummy, foreign legion, nile, secret society,
        treasure hunt, remake, archaeologist, tomb, book of the dead, ancient
        egypt, opposites attract, 1920s, pharoah, good versus evil
      - >-
        Title: Reality Bites

        Genres: Drama, Romance, Comedy

        Overview: A small circle of friends suffering from post-collegiate blues
        must confront the hard truth about life, love and the pursuit of gainful
        employment. As they struggle to map out survival guides for the future,
        the Gen-X quartet soon begins to realize that reality isn't all it's
        cracked up to be.

        Tagline: A comedy about love in the '90s

        Director: Ben Stiller

        Stars: Winona Ryder, Ethan Hawke, Janeane Garofalo

        Release Date: 1994-02-18

        Keywords: yuppie, roommates, generations conflict, cohabitant,
        cabriolet, unemployed
  - source_sentence: Heartwarming animated dramas about friendship and ambition.
    sentences:
      - >-
        Title: Trapezium

        Genres: Animation, Drama, Music

        Overview: High school student Yu Azuma will do whatever it takes to
        become an idol. Ready to make her dream a reality, she recruits three
        girls from the four corners of her prefecture. But the road to stardom
        hides unexpected trials.

        Tagline: 

        Director: Masahiro Shinohara

        Stars: Asaki Yuikawa, Hina Youmiya, Reina Ueda

        Release Date: 2024-05-10

        Keywords: based on novel or book, anime, idol group, idol
      - >-
        Title: Jaat

        Genres: Action, Drama

        Overview: After a ruffian accidentally ruins his meal, a traveler
        retorts violently and demands an apology, unintentionally finding
        himself in a web of violence, crime and corruption spun by a feared
        criminal.

        Tagline: 

        Director: Gopichand Malineni

        Stars: Sunny Deol, Randeep Hooda, Saiyami Kher

        Release Date: 2025-04-10

        Keywords: bollywood
      - >-
        Title: Terminator: Dark Fate

        Genres: Science Fiction, Action, Adventure, Thriller

        Overview: Decades after Sarah Connor prevented Judgment Day, a lethal
        new Terminator is sent to eliminate the future leader of the resistance.
        In a fight to save mankind, battle-hardened Sarah Connor teams up with
        an unexpected ally and an enhanced super soldier to stop the deadliest
        Terminator yet.

        Tagline: Welcome to the day after judgement day

        Director: Tim Miller

        Stars: Linda Hamilton, Arnold Schwarzenegger, Mackenzie Davis

        Release Date: 2019-10-23

        Keywords: helicopter, mexico city, mexico, artificial intelligence
        (a.i.), cyborg, dystopia, time travel, sequel, plane crash
  - source_sentence: Teen-centric horror movie with a chilling alien invasion plot
    sentences:
      - >-
        Title: The Faculty

        Genres: Horror, Science Fiction

        Overview: When some very creepy things start happening around school,
        the kids at Herrington High make the chilling discovery that confirms
        their worst suspicions: their teachers really are from another planet!

        Tagline: Take me to your teacher.

        Director: Robert Rodriguez

        Stars: Josh Hartnett, Elijah Wood, Jordana Brewster

        Release Date: 1998-12-25

        Keywords: drug dealer, high school, homophobia, paranoia, alien,
        teacher, alien invasion, drugs, alien infection, social status,
        parasite, creature feature, school nurse, body snatchers, alien
        parasites, parasites, body horror, teenager, teen scream
      - >-
        Title: Mystic River

        Genres: Thriller, Crime, Drama, Mystery

        Overview: The lives of three men who were childhood friends are
        shattered when one of them suffers a family tragedy.

        Tagline: We bury our sins, we wash them clean.

        Director: Clint Eastwood

        Stars: Sean Penn, Tim Robbins, Kevin Bacon

        Release Date: 2003-10-07

        Keywords: child abuse, sexual abuse, workers' quarter, based on novel or
        book, loss of loved one, suppressed past, boston, massachusetts,
        repayment, arbitrary law, loyalty, massachusetts, whodunit, biting,
        guilt, childhood sexual abuse, mysterious, grim, vengeance, poker race,
        sex abuse, forceful, ominous
      - >-
        Title: On Swift Horses

        Genres: Drama, Romance

        Overview: In the 1950s, a seemingly sensible newlywed and her wayward
        brother-in-law undertake parallel journeys of risk, romance, and
        self-discovery.

        Tagline: How much would you gamble for love?

        Director: Daniel Minahan

        Stars: Daisy Edgar-Jones, Jacob Elordi, Will Poulter

        Release Date: 2025-04-24

        Keywords: casino, based on novel or book, gambling, lesbian
        relationship, 1950s, gay romance, gay relationship, same sex
        relationship, wistful, queer cinema, san diego, lgbt history, queer
        history, lesbian couple, gay couple, romantic, ambiguous, melodramatic,
        horse riding, queer love, queer romance, gay men, gay love story, gay
        love, lgbtq, queer sexuality, lgbtq+
  - source_sentence: Movies about the dark side of Hollywood fame and power abuse
    sentences:
      - >-
        Title: Frances

        Genres: Drama

        Overview: The true story of Frances Farmer's meteoric rise to fame in
        Hollywood and the tragic turn her life took when she was blacklisted.

        Tagline: Her story is shocking, disturbing, compelling... and true.

        Director: Graeme Clifford

        Stars: Jessica Lange, Sam Shepard, Kim Stanley

        Release Date: 1982-12-03

        Keywords: strong woman, falsely accused, insanity, movie business,
        feminism, biography, based on true story, evil mother, psychiatric
        hospital, female protagonist, hollywood, wrongful imprisonment, lost
        love, wrongful arrest, wrongful conviction, wrong diagnosis, lobotomy,
        frances farmer, power abuse, mother daughter relationship
      - >-
        Title: Come Drink with Me

        Genres: Action, Adventure

        Overview: Golden Swallow is a fighter-for-hire who has been contracted
        by the local government to retrieve the governor's kidnapped son.
        Holding him is a group of rebels who are demanding that their leader be
        released from prison in return for the captured son. After a brief
        encounter with the gang at a local restaurant, Golden Swallow is joined
        by an inebriated wanderer Drunken Cat who aids her in her mission.

        Tagline: 

        Director: King Hu

        Stars: Cheng Pei-Pei, Elliot Ngok Wah, Chen Hung-Lieh

        Release Date: 1966-04-07

        Keywords: kung fu, hero, showdown, kidnapping, warrior woman, gore,
        fistfight, forest, waterfall, murder, tough girl, monastery, heroine,
        inn, severed hand, wuxia, kung fu master, inner strength, beggar clan,
        tavern fight
      - >-
        Title: Deva

        Genres: Action, Thriller, Mystery, Crime

        Overview: Dev Ambre, a ruthless cop, loses his memory in an accident
        just after he has finished solving a murder case and now has to
        reinvestigate it while keeping his memory loss a secret from everyone
        except DCP Farhan Khan.

        Tagline: 

        Director: Rosshan Andrrews

        Stars: Shahid Kapoor, Pooja Hegde, Pavail Gulati

        Release Date: 2025-01-31

        Keywords: remake, based on movie, bollywood
pipeline_tag: sentence-similarity
library_name: sentence-transformers

SentenceTransformer based on BAAI/bge-base-en-v1.5

This is a sentence-transformers model finetuned from BAAI/bge-base-en-v1.5. 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: BAAI/bge-base-en-v1.5
  • Maximum Sequence Length: 512 tokens
  • Output Dimensionality: 768 dimensions
  • Similarity Function: Cosine Similarity

Model Sources

Full Model Architecture

SentenceTransformer(
  (0): Transformer({'max_seq_length': 512, 'do_lower_case': True}) 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})
  (2): Normalize()
)

Usage

Direct Usage (Sentence Transformers)

First install the Sentence Transformers library:

pip install -U sentence-transformers

Then you can load this model and run inference.

from sentence_transformers import SentenceTransformer

# Download from the 🤗 Hub
model = SentenceTransformer("sentence_transformers_model_id")
# Run inference
sentences = [
    'Movies about the dark side of Hollywood fame and power abuse',
    "Title: Frances\nGenres: Drama\nOverview: The true story of Frances Farmer's meteoric rise to fame in Hollywood and the tragic turn her life took when she was blacklisted.\nTagline: Her story is shocking, disturbing, compelling... and true.\nDirector: Graeme Clifford\nStars: Jessica Lange, Sam Shepard, Kim Stanley\nRelease Date: 1982-12-03\nKeywords: strong woman, falsely accused, insanity, movie business, feminism, biography, based on true story, evil mother, psychiatric hospital, female protagonist, hollywood, wrongful imprisonment, lost love, wrongful arrest, wrongful conviction, wrong diagnosis, lobotomy, frances farmer, power abuse, mother daughter relationship",
    "Title: Come Drink with Me\nGenres: Action, Adventure\nOverview: Golden Swallow is a fighter-for-hire who has been contracted by the local government to retrieve the governor's kidnapped son. Holding him is a group of rebels who are demanding that their leader be released from prison in return for the captured son. After a brief encounter with the gang at a local restaurant, Golden Swallow is joined by an inebriated wanderer Drunken Cat who aids her in her mission.\nTagline: \nDirector: King Hu\nStars: Cheng Pei-Pei, Elliot Ngok Wah, Chen Hung-Lieh\nRelease Date: 1966-04-07\nKeywords: kung fu, hero, showdown, kidnapping, warrior woman, gore, fistfight, forest, waterfall, murder, tough girl, monastery, heroine, inn, severed hand, wuxia, kung fu master, inner strength, beggar clan, tavern fight",
]
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]

Training Details

Training Dataset

Unnamed Dataset

  • Size: 32,382 training samples
  • Columns: sentence_0, sentence_1, and sentence_2
  • Approximate statistics based on the first 1000 samples:
    sentence_0 sentence_1 sentence_2
    type string string string
    details
    • min: 8 tokens
    • mean: 16.52 tokens
    • max: 38 tokens
    • min: 37 tokens
    • mean: 151.92 tokens
    • max: 330 tokens
    • min: 48 tokens
    • mean: 146.76 tokens
    • max: 301 tokens
  • Samples:
    sentence_0 sentence_1 sentence_2
    Something like a drama story dealing with disturbed teenager or life Title: I Never Promised You a Rose Garden
    Genres: Drama
    Overview: A disturbed and institutionalized 16-year-old girl struggles between fantasy and reality.
    Tagline: When she tried to kill herself, it was just the beginning.
    Director: Anthony Page
    Stars: Kathleen Quinlan, Bibi Andersson, Ben Piazza
    Release Date: 1977-07-14
    Keywords: disturbed teenager
    Title: Event Horizon
    Genres: Horror, Science Fiction, Mystery
    Overview: In 2047, a group of astronauts are sent to investigate and salvage the starship Event Horizon which disappeared mysteriously seven years before on its maiden voyage. However, it soon becomes evident that something sinister resides in its corridors.
    Tagline: Infinite space. Infinite terror.
    Director: Paul W. S. Anderson
    Stars: Laurence Fishburne, Sam Neill, Kathleen Quinlan
    Release Date: 1997-08-15
    Keywords: space marine, nightmare, insanity, delusion, hallucination, space travel, cryogenics, gore, black hole, crew, flashback, evil spirit, alternate dimension, hellgate, religion, explosion, burning man, rescue team, super power, trapped in space, distress signal, 2040s, spaceship
    Stories of brave musketeers fighting against powerful adversaries for justice and love Title: The Three Musketeers
    Genres: Action, Adventure, Romance, Family
    Overview: The young D'Artagnan arrives in Paris with dreams of becoming a King's musketeer. He meets and quarrels with three men, Athos, Porthos, and Aramis, each of whom challenges him to a duel. D'Artagnan finds out they are musketeers and is invited to join them in their efforts to oppose Cardinal Richelieu, who wishes to increase his already considerable power over the King. D'Artagnan must also juggle affairs with the charming Constance Bonancieux and the passionate Lady De Winter, a secret agent for the Cardinal.
    Tagline: . . . One for All and All for Fun!
    Director: Richard Lester
    Stars: Michael York, Oliver Reed, Richard Chamberlain
    Release Date: 1973-12-11
    Keywords: france, paris, france, based on novel or book, swordplay, fight, satire, dressmaker, louis xiii, sword fight, swordsman, musketeer, extramarital affair, swashbuckler, diamond theft, sword duel, diamond necklace, cardinal, 17th century, queen jewe...
    Title: The Brood
    Genres: Horror, Science Fiction
    Overview: A man tries to uncover an unconventional psychologist's therapy techniques on his institutionalized wife, while a series of brutal attacks committed by a brood of mutant children coincides with the husband's investigation.
    Tagline: The Ultimate Experience in Inner Terror.
    Director: David Cronenberg
    Stars: Oliver Reed, Samantha Eggar, Art Hindle
    Release Date: 1979-05-25
    Keywords: toronto, canada, mutant, transformation, psychologist, divorce, psychotherapist, canuxploitation
    Critically acclaimed drama films directed by Sarah Polley exploring the themes of illiteracy and based on novel or book Title: Women Talking
    Genres: Drama
    Overview: A group of women in an isolated religious colony struggle to reconcile their faith with a series of sexual assaults committed by the colony's men.
    Tagline: Do nothing. Stay and fight. Leave.
    Director: Sarah Polley
    Stars: Rooney Mara, Claire Foy, Jessie Buckley
    Release Date: 2022-12-23
    Keywords: rape, based on novel or book, faith, illiteracy, bolivia, mennonites, religion, gang rape, teenage rape, meeting, duringcreditsstinger, woman director, sexual assault, abusive husband, 2000s, pregnancy from rape
    Title: Alice in Wonderland
    Genres: Family, Fantasy, Adventure
    Overview: Alice, now 19 years old, returns to the whimsical world she first entered as a child and embarks on a journey to discover her true destiny.
    Tagline: You're invited to a very important date.
    Director: Tim Burton
    Stars: Mia Wasikowska, Johnny Depp, Anne Hathaway
    Release Date: 2010-03-03
    Keywords: based on novel or book, queen, psychotic, fantasy world, taunting, live action remake, based on young adult novel, mischievous, absurd, dramatic, incredulous, amused, euphoric
  • Loss: MultipleNegativesRankingLoss with these parameters:
    {
        "scale": 20.0,
        "similarity_fct": "cos_sim"
    }
    

Training Hyperparameters

Non-Default Hyperparameters

  • per_device_train_batch_size: 32
  • per_device_eval_batch_size: 32
  • num_train_epochs: 4
  • multi_dataset_batch_sampler: round_robin

All Hyperparameters

Click to expand
  • overwrite_output_dir: False
  • do_predict: False
  • eval_strategy: no
  • prediction_loss_only: True
  • per_device_train_batch_size: 32
  • per_device_eval_batch_size: 32
  • 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: 5e-05
  • weight_decay: 0.0
  • adam_beta1: 0.9
  • adam_beta2: 0.999
  • adam_epsilon: 1e-08
  • max_grad_norm: 1
  • num_train_epochs: 4
  • max_steps: -1
  • lr_scheduler_type: linear
  • lr_scheduler_kwargs: {}
  • warmup_ratio: 0.0
  • 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: False
  • 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: False
  • 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
  • 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: round_robin

Training Logs

Epoch Step Training Loss
0.4941 500 0.796
0.9881 1000 0.517
1.4822 1500 0.3748
1.9763 2000 0.3682
2.4704 2500 0.2839
2.9644 3000 0.2849
3.4585 3500 0.2392
3.9526 4000 0.2373

Framework Versions

  • Python: 3.11.12
  • Sentence Transformers: 3.4.1
  • Transformers: 4.51.3
  • PyTorch: 2.6.0+cu124
  • Accelerate: 1.6.0
  • Datasets: 3.5.1
  • Tokenizers: 0.21.1

Citation

BibTeX

Sentence Transformers

@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",
}

MultipleNegativesRankingLoss

@misc{henderson2017efficient,
    title={Efficient Natural Language Response Suggestion for Smart Reply},
    author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
    year={2017},
    eprint={1705.00652},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}