metadata
language: en
license: apache-2.0
library_name: setfit
tags:
- setfit
- sentence-transformers
- text-classification
- generated_from_setfit_trainer
metrics:
- accuracy
- precision
- recall
- f1
widget:
- text: >-
not so jolly dolly so, last weekend my wife and i watched the oppen part
of the "barbenheimer" 2023 box-office two-headed monster and this week it
was barbie's turn. from the little i'd incidentally read in advance about
the day-glo billion dollar blockbuster, i was expecting some kind of
retro-cool, existentialist, post-modernist satire on the battle of the
sexes, consumerism and childhood buffed up with a little diversity along
the way, but somehow with all these ducks lined up in a row, i felt the
film missed the mark.it starts brightly with eye-candy sets in fifty
shades of pink as we're introduced to margot robbie's barbie in her
barbie-world of alternative barbies, see through doll's houses and their
various incomplete consumer goods, for example our girl has her daily
dry-shower and drinks non-existent tea. everything appears to be perfect
in her / their perfect world, unless you're the boyfriend ken, here also
in a variety of forms, all doomed to exist only in barbie's slipstream and
so experience recurring frustration at getting precisely nowhere, all the
time, with the object of his / their, i hesitate to call it, desire.then
things start to go wrong for robbie's "stereotypical" barbie. she thinks
of death and starts to malfunction and after a visit to kate mckinnon's
weird barbie, a concept i have to say i didn't get at all, she determines
to go to the real world to connect with the disillusioned mattel employee,
played by america ferrera, whose negativity, channelled through her
disinterested daughter ariana greenblatt, is upsetting the living doll's
equilibrium. ryan gosling's wheedling ken is also along for the ride and
stows away in her penelope pitstop-mobile and together they head for l.
a., where ferrera lives, the headquarters of the manufacturer mattel.for
me, the film went downhill fast from there with ken's head getting
messed-up with perceptions of patriarchy while barbie has a meltdown over
her identity-crisis. there are unfunny, over-played scenes where barbie
experiences humiliation at the hands of greenblatt and her school chums,
traipses down to mattel hq to confront the all-male board of directors
headed by a mis-cast will ferrell as the company ceo, before returning to
barbie-world with ferrera and greenblatt in tow to take down ken's
new-model kendom where outdated male-superiority is literally back in the
saddle.i have to admit, i got very bored, very soon with this empty,
supposedly satirical high-concept, fantasy-comedy. a world box-office of
1.5 billion dollars and eight oscar nominations actually makes me wonder
if i've not switched places too with barbie-world as i'm afraid nothing
about the movie, including the soundtrack and unsuccessful attempts at
either comedy or pathos (especially when they wheel in rhea perlman as the
doll's now-enlightened creator) all missing me by miles.when at one point,
all her namesakes shout "go barbie!', i must admit i was with them 100%
but for completely different reasons.
- text: >-
way better than expected i was amongst the people who thought they saw a
majority of this film based on all of the filming stills posted on the
bird app in 2022. i still wanted to see it. something about their perfect
neon rollerblading outfits. i saw one preview and wasn't sure what the
plot was going to be, i didn't care, i still wanted to see it. i wasn't
expecting it to be amazing, but amazing it was. well done!! margot really
knocked it out of the dollhouse. ryan i'll never look at the same way way
again. this 1980s barbie superman is very pleased. it won't be long until
the opening dance scene is all over the clock app. i haven't felt so
compelled to learn choreography since michael jackson's thriller. also,
girls rule. sorry, ken. 12 out of 24 found this helpful. was this review
helpful? sign in to vote. permalink
- text: >-
anyone remember the film "life size"? from a far, i can see why people
would absolutely hate this movie. just the concept of "barbie: the movie"
is enough to make people feel like the art of cinema has been compromised
by corporate america. but, as a whole, this movie was very well received.
it made over a billion dollars at the box-office and was nominated for 8
oscars including "best picture", so clearly it some people really liked
it.there is a lot to enjoy in this film. the movie does a good job with
poking fun at the barbie brand without it feeling too much like a spoof.
this is a comedy, so the fact that the film is really funny is kind of an
important element. understandably comedy is a subjective thing, so all i
can say is for me, i laughed out loud several times through the movie. the
movie is clever in how it treats its "worldbuilding" and nicely avoids any
firm answers about how this world works. because, yeah, if you think about
that sort of stuff in the film there is a lot that doesn't add up.it is
nice that they don't spend too much time in "the real world" and focus on
the creative fun of "barbie world". the movie is more visually unique and
can do more gags when that is the case.when the movie is focusing on being
a bizarre comedy, that is when some of the best and most memorable things
happen. when it tries to have a more serious message, that is where it
loses some momentum. don't misunderstand me, the movie needs some serious
stuff in order to make the comedy work. and the stuff with ugly betty and
her daughter is good emotional stuff. but towards the end, they realize
that barbie needs to have a character arc and feel like they tack one on
last second. there are some very funny jokes towards the end, but it does
become a little repetitive and the message feels heavy handed by the 5th
time it's brought up. side note: i wanted a cameo from the voice actress
of barbie, kelly sheridan, but she wasn't there.i will emphasize this
because hollywood will learn all the wrong lessons from this movie's
success. we do not want a "polly pocket" movie or an "uno" movie. what
made this film a success, beyond its brand or its marketing campaign, is
that it was uniquely greta gerwig's vision. the movie wasn't concerned
with mass audience appeal, it would tell jokes that they thought were
funny and hoped others would enjoy as well. if you want to duplicate
barbie's success, give creative people control to make some out there
stuff.wrapped in plastic, it's fantastic.
- text: >-
great expectations this film exceeded all of my expectations a n d i was
looking forward to seeing it. i wonder about any parents who might bring
their children to see it expecting something quite different from what
this film is. one hour fifty four minutes of fun from beginning to end.
satire, sarcasm , humor at every turn. production values and acting off
the charts good. i can't believe mattel let them make the movie with
complete artistic freedom. think of nicole kidman in the amc promo before
a movie starts and says, " somehow heartbreak feels good in a place like
this ". well somehow watching a silly spoof like this movie feels great
all the way through and even afterwards. i loved it and i am not surprised
at the huge box office , this movie rocks. 4 out of 11 found this helpful.
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- text: >-
decent i like what they did with this movie and the characters with its
combining the barbie world and the real world. barbie starts getting
"vibes" and has to go into the real world to find the girl who played with
her to set things right and winds up in the mattel headquarters. something
resembling chaos ensues. ken joins her and winds up causing further
damage. i like what they do in various stages of the story and with the
characters. it was overall a very pleasant surprise snd a good movie with
a good cast. margot robbie, ryan gosling, america ferrera, and will
ferrell were all good in their roles. if you are a movie and/or a barbie
fan, you will love this movie.*** out of **** 2 out of 7 found this
helpful. was this review helpful? sign in to vote. permalink
pipeline_tag: text-classification
inference: true
model-index:
- name: SetFit
results:
- task:
type: text-classification
name: Text Classification
dataset:
name: data/raw/barbie.jsonl
type: unknown
split: test
metrics:
- type: accuracy
value: 0.8811688311688312
name: Accuracy
- type: precision
value: 0.9952114924181963
name: Precision
- type: recall
value: 0.8757022471910112
name: Recall
- type: f1
value: 0.9316398954053045
name: F1
SetFit
This is a SetFit model that can be used for Text Classification. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
- Fine-tuning a Sentence Transformer with contrastive learning.
- Training a classification head with features from the fine-tuned Sentence Transformer.
Model Details
Model Description
- Model Type: SetFit
- Classification head: a LogisticRegression instance
- Maximum Sequence Length: 512 tokens
- Number of Classes: 2 classes
- Language: en
- License: apache-2.0
Model Sources
- Repository: SetFit on GitHub
- Paper: Efficient Few-Shot Learning Without Prompts
- Blogpost: SetFit: Efficient Few-Shot Learning Without Prompts
Model Labels
| Label | Examples |
|---|---|
| negative |
|
| positive |
|
Evaluation
Metrics
| Label | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|
| all | 0.8812 | 0.9952 | 0.8757 | 0.9316 |
Uses
Direct Use for Inference
First install the SetFit library:
pip install setfit
Then you can load this model and run inference.
from setfit import SetFitModel
# Download from the 🤗 Hub
model = SetFitModel.from_pretrained("carlesoctav/SentimentClassifierBarbieDune-8shot")
# Run inference
preds = model("decent i like what they did with this movie and the characters with its combining the barbie world and the real world. barbie starts getting \"vibes\" and has to go into the real world to find the girl who played with her to set things right and winds up in the mattel headquarters. something resembling chaos ensues. ken joins her and winds up causing further damage. i like what they do in various stages of the story and with the characters. it was overall a very pleasant surprise snd a good movie with a good cast. margot robbie, ryan gosling, america ferrera, and will ferrell were all good in their roles. if you are a movie and/or a barbie fan, you will love this movie.*** out of **** 2 out of 7 found this helpful. was this review helpful? sign in to vote. permalink")
Training Details
Training Set Metrics
| Training set | Min | Median | Max |
|---|---|---|---|
| Word count | 112 | 234.1953 | 1424 |
| Label | Training Sample Count |
|---|---|
| negative | 64 |
| positive | 64 |
Training Hyperparameters
- batch_size: (16, 16)
- num_epochs: (1, 1)
- max_steps: -1
- sampling_strategy: oversampling
- body_learning_rate: (2e-05, 1e-05)
- head_learning_rate: 0.01
- loss: CosineSimilarityLoss
- distance_metric: cosine_distance
- margin: 0.25
- end_to_end: False
- use_amp: False
- warmup_proportion: 0.1
- seed: 42
- eval_max_steps: -1
- load_best_model_at_end: True
Training Results
| Epoch | Step | Training Loss | Validation Loss |
|---|---|---|---|
| 0.0019 | 1 | 0.3627 | - |
| 0.0962 | 50 | 0.0007 | - |
| 0.1923 | 100 | 0.1003 | - |
| 0.2885 | 150 | 0.0001 | - |
| 0.3846 | 200 | 0.0001 | - |
| 0.4808 | 250 | 0.0001 | - |
| 0.5769 | 300 | 0.0001 | - |
| 0.6731 | 350 | 0.0 | - |
| 0.7692 | 400 | 0.0001 | - |
| 0.8654 | 450 | 0.0 | - |
| 0.9615 | 500 | 0.0 | - |
| 1.0 | 520 | - | 0.2312 |
- The bold row denotes the saved checkpoint.
Framework Versions
- Python: 3.10.11
- SetFit: 1.0.3
- Sentence Transformers: 2.5.1
- Transformers: 4.38.2
- PyTorch: 2.0.1
- Datasets: 2.18.0
- Tokenizers: 0.15.2
Citation
BibTeX
@article{https://doi.org/10.48550/arxiv.2209.11055,
doi = {10.48550/ARXIV.2209.11055},
url = {https://arxiv.org/abs/2209.11055},
author = {Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo and Bates, Luke and Korat, Daniel and Wasserblat, Moshe and Pereg, Oren},
keywords = {Computation and Language (cs.CL), FOS: Computer and information sciences, FOS: Computer and information sciences},
title = {Efficient Few-Shot Learning Without Prompts},
publisher = {arXiv},
year = {2022},
copyright = {Creative Commons Attribution 4.0 International}
}