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
- Documentation: Sentence Transformers Documentation
- Repository: Sentence Transformers on GitHub
- Hugging Face: Sentence Transformers on Hugging Face
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
, andsentence_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 teenagerTitle: 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, spaceshipStories 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, canuxploitationCritically 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 rapeTitle: 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
: 32per_device_eval_batch_size
: 32num_train_epochs
: 4multi_dataset_batch_sampler
: round_robin
All Hyperparameters
Click to expand
overwrite_output_dir
: Falsedo_predict
: Falseeval_strategy
: noprediction_loss_only
: Trueper_device_train_batch_size
: 32per_device_eval_batch_size
: 32per_gpu_train_batch_size
: Noneper_gpu_eval_batch_size
: Nonegradient_accumulation_steps
: 1eval_accumulation_steps
: Nonetorch_empty_cache_steps
: Nonelearning_rate
: 5e-05weight_decay
: 0.0adam_beta1
: 0.9adam_beta2
: 0.999adam_epsilon
: 1e-08max_grad_norm
: 1num_train_epochs
: 4max_steps
: -1lr_scheduler_type
: linearlr_scheduler_kwargs
: {}warmup_ratio
: 0.0warmup_steps
: 0log_level
: passivelog_level_replica
: warninglog_on_each_node
: Truelogging_nan_inf_filter
: Truesave_safetensors
: Truesave_on_each_node
: Falsesave_only_model
: Falserestore_callback_states_from_checkpoint
: Falseno_cuda
: Falseuse_cpu
: Falseuse_mps_device
: Falseseed
: 42data_seed
: Nonejit_mode_eval
: Falseuse_ipex
: Falsebf16
: Falsefp16
: Falsefp16_opt_level
: O1half_precision_backend
: autobf16_full_eval
: Falsefp16_full_eval
: Falsetf32
: Nonelocal_rank
: 0ddp_backend
: Nonetpu_num_cores
: Nonetpu_metrics_debug
: Falsedebug
: []dataloader_drop_last
: Falsedataloader_num_workers
: 0dataloader_prefetch_factor
: Nonepast_index
: -1disable_tqdm
: Falseremove_unused_columns
: Truelabel_names
: Noneload_best_model_at_end
: Falseignore_data_skip
: Falsefsdp
: []fsdp_min_num_params
: 0fsdp_config
: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}tp_size
: 0fsdp_transformer_layer_cls_to_wrap
: Noneaccelerator_config
: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}deepspeed
: Nonelabel_smoothing_factor
: 0.0optim
: adamw_torchoptim_args
: Noneadafactor
: Falsegroup_by_length
: Falselength_column_name
: lengthddp_find_unused_parameters
: Noneddp_bucket_cap_mb
: Noneddp_broadcast_buffers
: Falsedataloader_pin_memory
: Truedataloader_persistent_workers
: Falseskip_memory_metrics
: Trueuse_legacy_prediction_loop
: Falsepush_to_hub
: Falseresume_from_checkpoint
: Nonehub_model_id
: Nonehub_strategy
: every_savehub_private_repo
: Nonehub_always_push
: Falsegradient_checkpointing
: Falsegradient_checkpointing_kwargs
: Noneinclude_inputs_for_metrics
: Falseinclude_for_metrics
: []eval_do_concat_batches
: Truefp16_backend
: autopush_to_hub_model_id
: Nonepush_to_hub_organization
: Nonemp_parameters
:auto_find_batch_size
: Falsefull_determinism
: Falsetorchdynamo
: Noneray_scope
: lastddp_timeout
: 1800torch_compile
: Falsetorch_compile_backend
: Nonetorch_compile_mode
: Noneinclude_tokens_per_second
: Falseinclude_num_input_tokens_seen
: Falseneftune_noise_alpha
: Noneoptim_target_modules
: Nonebatch_eval_metrics
: Falseeval_on_start
: Falseuse_liger_kernel
: Falseeval_use_gather_object
: Falseaverage_tokens_across_devices
: Falseprompts
: Nonebatch_sampler
: batch_samplermulti_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}
}