modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
jkhan447/sarcasm-detection-RoBerta-base-newdata | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-RoBerta-base-newdata
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this... | 1,165 |
powerwarez/kindword-klue_bert-base | null | ---
license: apache-2.0
---
klue-bert-base에 스마일게이트 욕설데이터를 FineTune한 모델입니다. | 74 |
twhitehurst3/autotrain-blaze_text_classification-1004733283 | null | 0 | |
strnlz/distilbert-base-uncased-finetuned-sst2 | null | Entry not found | 15 |
mmillet/xlm-roberta-base_single_finetuned_on_cedr_augmented | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base_single_finetuned_on_cedr_augmented
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proo... | 2,015 |
upsalite/bert-base-german-cased-finetuned-emotion-2-labels | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-finetuned-emotion-2-labels
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, ... | 2,788 |
kaisuke/finetuning-sentiment-model-3000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | 1,505 |
mgfrantz/deberta_v3_finetuned_predicting_effective_arguments | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jmwolf27/finetuning-sentiment-model-3000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
met... | 1,520 |
annahaz/xlm-roberta-base-finetuned-misogyny-sexism-en-it-hi-beng | [
"0",
"1"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-finetuned-misogyny-sexism-en-it-hi-beng
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably... | 2,520 |
abhishek/autotrain-imdbtestmodel-9215210 | [
"neg",
"pos"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- abhishek/autotrain-data-imdbtestmodel
co2_eq_emissions: 0.2757084122251468
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 9215210
- CO2 Emissions (in grams): 0.2757084122251468
## Validation Metr... | 1,156 |
z-dickson/US_politicians_covid_skepticism | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: US_politicians_covid_skepticism
results: []
---
# US_politicians_covid_skepticism
This model is a fine-tuned version of [vinai/bertweet-covid19-base-uncased](https://huggingface.co/vinai/bertweet-covid19-base-uncased) on a dataset of 20,000 handcoded ... | 2,139 |
annahaz/distilbert-base-multilingual-cased-finetuned-misogyny | [
"0",
"1"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should prob... | 2,560 |
Sayan01/tiny-bert-mnli-m-distilled | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
Smith123/tiny-bert-sst2-distilled_L4_H_512_New | [
"negative",
"positive"
] | Entry not found | 15 |
abhinav-kumar-thakur/distilbert-base-uncased-finetuned-mrpc | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
... | 2,010 |
dminiotas05/distilbert-base-uncased-finetuned-ft500_4 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-ft500_4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 1,504 |
annS/roberta-base-prop-16-train-set | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-prop-16-train-set
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-bas... | 1,040 |
Sayan01/tiny-bert-mnli-mm-distilled | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
Cleyden/roberta-base-prop-16-train-set | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-base-prop-16-train-set
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-bas... | 1,040 |
Sayan01/tiny-bert-qnli-128-distilled | [
"entailment",
"not_entailment"
] | Entry not found | 15 |
jinwooChoi/hjw_small_25_32_0.0001 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
clevrly/roberta-large-mnli-fer-finetuned | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-large-mnli-fer-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | 1,650 |
juliensimon/distilbert-amazon-shoe-reviews-tensorboard | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-amazon-shoe-reviews-tensorboard
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofr... | 2,145 |
SIMAS-UN/blaming_infrastructure | null | Entry not found | 15 |
garynguyen1174/disaster_tweet_bert | null | Entry not found | 15 |
gauravtripathy/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,999 |
gchhablani/bert-large-cased-finetuned-cola | [
"acceptable",
"unacceptable"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-large-cased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args:... | 1,847 |
gchhablani/fnet-base-finetuned-mrpc | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: fnet-base-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: gl... | 3,038 |
gchhablani/fnet-base-finetuned-qqp | [
"duplicate",
"not_duplicate"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: fnet-base-finetuned-qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE QQP
type: glue... | 2,879 |
gchhablani/fnet-large-finetuned-cola-copy | [
"acceptable",
"unacceptable"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args: ... | 1,829 |
gchhablani/fnet-large-finetuned-cola-copy2 | [
"acceptable",
"unacceptable"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args:... | 1,864 |
gchhablani/fnet-large-finetuned-cola-copy4 | [
"acceptable",
"unacceptable"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: fnet-large-finetuned-cola-copy4
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE COLA
type: glue
args:... | 1,835 |
gchhablani/fnet-large-finetuned-mnli | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
gchhablani/fnet-large-finetuned-mrpc | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: fnet-large-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
met... | 2,140 |
groovychoons/biasmodel | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
hanseokhyeon/bert-badword-large | null | Entry not found | 15 |
hanseokhyeon/bert-badword-puri | null | Entry not found | 15 |
harish/EN-AStitchTask1A-DistilBERT-FalseTrue-0-2-BEST | null | Entry not found | 15 |
harish/EN-AStitchTask1A-XLNet-FalseFalse-0-OneShot-0-BEST | null | Entry not found | 15 |
harish/PT-UP-xlmR-FalseFalse-FewShot-2_BEST | null | Entry not found | 15 |
harish/PT-mbert-train-from-test-and-dev-FalseTrue-0_0_BEST | null | Entry not found | 15 |
hcjang1987/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,999 |
histinct7002/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,993 |
hoonst/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
howey/bert-base-uncased-qnli | null | Entry not found | 15 |
howey/bert-base-uncased-stsb | [
"LABEL_0"
] | Entry not found | 15 |
huggingfans/Electra_small_index_epochs3_maxLen512_loss0.19 | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
ietz/comment-linking-distilbert-base-german-cased | null | Entry not found | 15 |
ikevin98/bert-base-uncased-sst2-distilled | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-sst2-distilled
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | 1,591 |
ikevin98/bert-base-uncased-sst2-membership-attack | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-sst2-membership-attack
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... | 1,607 |
ismaelardo/BETO_3d | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"LABEL_17",
"LABEL_18",
"LABEL_19",
"LABEL_2",
"LABEL_20",
"LABEL_21",
"LABEL_22",
"LABEL_23",
"LABEL_24",
"LABEL_25",
"LABEL_26",
"LABEL_27",
"LABEL_28",
"LABEL_29",... | Este es el primer modelo de prueba BETO_3D | 42 |
jambo/microsoftBio-renet | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- renet
metrics:
- precision
- recall
- f1
- accuracy
model_index:
- name: BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext-finetuned-renet
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: renet
... | 1,773 |
jamescalam/bert-stsb-cross-encoder | [
"LABEL_0"
] | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- sentence-similarity
- transformers
- cross-encoder
---
# Augmented SBERT STSb
This is a [sentence-transformers](https://www.SBERT.net) cross encoder model.
It is used as a demo model within the [NLP for Semantic Search course](https://www.pinecone... | 446 |
jkgrad/longformer-base-stsb | [
"LABEL_0"
] | Entry not found | 15 |
jpabbuehl/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 2,000 |
jpwahle/xlnet-base-plagiarism-detection | null | ---
language: ISO 639-1 code for your language, or `multilingual`
thumbnail: url to a thumbnail used in social sharing
tags:
- array
- of
- tags
datasets:
- array of dataset identifiers
metrics:
- array of metric identifiers
widget:
- text: Copyright infringement is viewed as an infringement of scholarly uprightness
... | 1,435 |
jwa018/norwegian_parliament | [
"frp",
"sv"
] | Entry not found | 15 |
kapilchauhan/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 2,000 |
korca/bae-roberta-base-boolq | null | Entry not found | 15 |
korca/bae-roberta-base-mrpc | null | Entry not found | 15 |
korca/bae-roberta-base-rte-5 | null | Entry not found | 15 |
korca/bae-roberta-base-rte | null | Entry not found | 15 |
korca/textfooler-roberta-base-sst2 | null | Entry not found | 15 |
kornosk/bert-election2020-twitter-stance-trump-KE-MLM | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language: "en"
tags:
- twitter
- stance-detection
- election2020
- politics
license: "gpl-3.0"
---
# Pre-trained BERT on Twitter US Election 2020 for Stance Detection towards Donald Trump (KE-MLM)
Pre-trained weights for **KE-MLM model** in [Knowledge Enhance Masked Language Model for Stance Detection](https://ww... | 3,614 |
leeyujin/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,999 |
leslie/bert_finetuning_test | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
lewtun/xlm-roberta-base-finetuned-marc-500-samples | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
tags:text-classification
--- | 32 |
lewtun/xlm-roberta-base-finetuned-marc-de | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-de
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | 1,429 |
lewtun/xlm-roberta-base-finetuned-marc-en-dummy | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-en-dummy
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 1,441 |
liamliang/hate_speech_content | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
liangxiaoxiao/bert_finetuning_test | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
lysandre/new-dummy-model | [
"NEGATIVE",
"POSITIVE"
] | # Dummy model
This is a dummy model. | 37 |
m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary | [
"negative",
"positive"
] | ---
language: fa
license: apache-2.0
---
# ALBERT Persian
A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
> میتونی بهش بگی برت_کوچولو
[ALBERT-Persian](https://github.com/m3hrdadfi/albert-persian) is the first attempt on ALBERT for the Persian Language. The model was tra... | 3,184 |
m3hrdadfi/albert-fa-base-v2-sentiment-snappfood | [
"HAPPY",
"SAD"
] | ---
language: fa
license: apache-2.0
---
# ALBERT Persian
A Lite BERT for Self-supervised Learning of Language Representations for the Persian Language
> میتونی بهش بگی برت_کوچولو
[ALBERT-Persian](https://github.com/m3hrdadfi/albert-persian) is the first attempt on ALBERT for the Persian Language. The model was tra... | 2,560 |
m3tafl0ps/autonlp-NLPIsFun-251844 | [
"negative",
"positive"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- m3tafl0ps/autonlp-data-NLPIsFun
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 251844
## Validation Metrics
- Loss: 0.38616305589675903
- Accuracy: 0.8356545961002786
- Precision: 0.8253968253968254
-... | 1,064 |
marcolatella/irony_trained | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- f1
model-index:
- name: irony_trained
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: irony
metrics:
- name: F1
... | 1,759 |
mateocolina/xlm-roberta-base-finetuned-marc-en | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then re... | 1,430 |
maximedb/mqa-cross-encoder | null | hello
| 6 |
mikeee/model-zs | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
milyiyo/minilm-finetuned-emotion | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: minilm-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: F1
... | 741 |
mmcquade11/autonlp-imdb-test-21134442 | [
"negative",
"positive"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- mmcquade11/autonlp-data-imdb-test
co2_eq_emissions: 298.7849611952843
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 21134442
- CO2 Emissions (in grams): 298.7849611952843
## Validation Metrics
- Loss... | 1,129 |
mohsenfayyaz/bert-base-cased-toxicity | null | Entry not found | 15 |
mohsenfayyaz/bert-base-uncased-toxicity-a | null | Entry not found | 15 |
mollypak/bert-model-baby | null | Entry not found | 15 |
moshew/bert-small-aug-sst2-distilled | [
"0",
"1"
] | Accuracy = 92 | 13 |
moussaKam/frugalscore_medium_deberta_bert-score | [
"LABEL_0"
] | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... | 2,592 |
moussaKam/frugalscore_medium_roberta_bert-score | [
"LABEL_0"
] | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... | 2,592 |
moussaKam/frugalscore_tiny_deberta_bert-score | [
"LABEL_0"
] | # FrugalScore
FrugalScore is an approach to learn a fixed, low cost version of any expensive NLG metric, while retaining most of its original performance
Paper: https://arxiv.org/abs/2110.08559?context=cs
Project github: https://github.com/moussaKam/FrugalScore
The pretrained checkpoints presented in the paper :
| ... | 2,592 |
msavel-prnt/distilbert-base-uncased-finetuned-clinc | [
"accept_reservations",
"account_blocked",
"alarm",
"application_status",
"apr",
"are_you_a_bot",
"balance",
"bill_balance",
"bill_due",
"book_flight",
"book_hotel",
"calculator",
"calendar",
"calendar_update",
"calories",
"cancel",
"cancel_reservation",
"car_rental",
"card_declin... | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model_index:
- name: distilbert-base-uncased-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 1,886 |
nickmuchi/minilm-finetuned-emotion_nm | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- f1
model-index:
- name: minilm-finetuned-emotion_nm
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: F1
... | 2,176 |
nicktien/TaipeiQA_v1 | [
"臺北大眾捷運股份有限公司",
"臺北市中山堂管理所",
"臺北市交通事件裁決所案件管理課",
"臺北市交通事件裁決所肇事鑑定課",
"臺北市交通事件裁決所違規申訴課",
"臺北市交通事件裁決所違規裁罰課",
"臺北市交通管制工程處設施科",
"臺北市信義區公所",
"臺北市停車管理工程處",
"臺北市內湖區公所",
"臺北市公共運輸處一般運輸科",
"臺北市公共運輸處大眾運輸科",
"臺北市公共運輸處業務稽查科",
"臺北市公共運輸處綜合規劃科",
"臺北市動物保護處動物收容組",
"臺北市動物保護處動物救援隊",
"臺北市動物保護處動物管理組",
"臺北... | ---
widget:
- text: "所有權人接獲古蹟公告後，如不服指定程序該如何處理？"
---
# TaipeiQA
| 68 |
oigele/awesome_fb_model | [
"contradiction",
"entailment",
"neutral"
] | ---
pipeline_tag: zero-shot-classification
datasets:
- multi_nli
widget:
- text: "ETH"
candidate_labels: "Location & Address, Employment, Organizational, Name, Service, Studies, Science"
hypothesis_template: "This is {}."
---
ETH Zeroshot
| 245 |
oumeima/finetuned-bert-mrpc | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model_index:
- name: finetuned-bert-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metric:
name: F1
... | 1,740 |
pablouribe/beto-copus-overfitted | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
paola-md/light-recipes-italian | [
"LABEL_0"
] | Entry not found | 15 |
pgperrone/roberta-base-bne-finetuned-amazon_reviews_multi | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: ... | 1,754 |
philschmid/MiniLMv2-L12-H384-emotion | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: MiniLMv2-L12-H384-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
- name: Accuracy
... | 2,138 |
pietrotrope/emotion_final | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
pinecone/bert-mrpc-cross-encoder | [
"LABEL_0"
] | # MRPC Cross Encoder
Demo model for use as part of Augmented SBERT chapters of the [NLP for Semantic Search course](https://www.pinecone.io/learn/nlp). | 152 |
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