modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
milyiyo/multi-minilm-finetuned-amazon-review | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: multi-minilm-finetuned-amazon-review
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
... | 2,464 |
ml6team/robbert-dutch-base-toxic-comments | [
"non-toxic",
"toxic"
] | ---
language:
- nl
tags:
- text-classification
- pytorch
widget:
- text: "Ik heb je lief met heel mijn hart"
example_title: "Non toxic comment 1"
- text: "Dat is een goed punt, zo had ik het nog niet bekeken."
example_title: "Non toxic comment 2"
- text: "Wat de fuck zei je net tegen me, klootzak?"
example_title... | 1,885 |
mofawzy/BERT-ASTD | null | ---
language:
- ar
datasets:
- ASTD
tags:
- ASTD
widget:
- text: "العنف والقتل في محيط العالم في زياده يوميا"
- text: "الصداقه تزرع الحياه ازهارا"
---
# BERT-ASTD Balanced
Arabic version bert model fine tuned on ASTD dataset balanced version to identify twitter sentiments in Arabic language MSA dialect .
## Dat... | 1,115 |
mofawzy/arbert-goodreads | null | Entry not found | 15 |
mohsenfayyaz/bert-base-uncased-offenseval2019-upsample | null | Entry not found | 15 |
mohsenfayyaz/bert-base-uncased-offenseval2019 | null | Entry not found | 15 |
mohsenfayyaz/roberta-base-toxicity | null | Entry not found | 15 |
mohsenfayyaz/xlnet-base-cased-toxicity | null | Entry not found | 15 |
moussaKam/frugalscore_small_bert-base_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 |
mrm8488/bert-uncased-finetuned-qnli | null | ---
language: en
thumbnail:
---
# [BERT](https://huggingface.co/deepset/bert-base-cased-squad2) fine tuned on [QNLI](https://github.com/rhythmcao/QNLI)+ compression ([BERT-of-Theseus](https://github.com/JetRunner/BERT-of-Theseus))
I used a [Bert model fine tuned on **SQUAD v2**](https://huggingface.co/deepset/bert-ba... | 1,902 |
mrm8488/deberta-v3-small-goemotions | [
"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_3",
"LABEL_4",
... | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-v3-snall-goemotions
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. -->
# ... | 1,589 |
mrm8488/electricidad-base-finetuned-pawsx-es | null | ---
language: es
datasets:
- xtreme
tags:
- nli
widget:
- text: "El río Tabaci es una vertiente del río Leurda en Rumania. El río Leurda es un afluente del río Tabaci en Rumania."
---
# Electricidad-base fine-tuned on PAWS-X-es for Paraphrase Identification (NLI)
| 265 |
muhtasham/autonlp-Doctor_DE-24595547 | [
"target"
] | ---
tags: autonlp
language: de
widget:
- text: "I love AutoNLP 🤗"
datasets:
- muhtasham/autonlp-data-Doctor_DE
co2_eq_emissions: 396.5529429198159
---
# Model Trained Using AutoNLP
- Problem type: Single Column Regression
- Model ID: 24595547
- CO2 Emissions (in grams): 396.5529429198159
## Validation Metrics
- Lo... | 1,150 |
ncats/EpiClassify4GARD | null | ---
license: other
---
## Model Documentation in progress
| 64 |
ncduy/roberta-imdb-sentiment-analysis | null | Entry not found | 15 |
orisuchy/Descriptive_Classifier | [
"Descriptive",
"Not Descriptive"
] | ---
license: afl-3.0
language: "he"
tags:
- Text Classification
widget:
- text: "היער השחור והגדול"
- text: "ואז הוא הלך לטייל בתוך היער השחור והגדול"
datasets:
- orisuchy/Descriptive_Sentences_He
metrics:
- accuracy
- f1
---
# **Descriptive Sentences Classifier**
Based on [AlephBERT](https://hugging... | 1,512 |
owen99630/riskdt | null | Entry not found | 15 |
pablouribe/bertstem-copus-supercategories | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
paintingpeter/distilbert-base-uncased-distilled-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-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 2,201 |
q5530793/bert_finetuning_test | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
qingtan007/bert_cn_finetuning | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
ran/h1 | null | Entry not found | 15 |
researchaccount/sa_sub4 | [
"Negative",
"Neutral",
"Positive"
] | ---
language: en
widget:
- text: "USER USER USER USER لاحول ولاقوه الا بالله 💔 💔 💔 💔 HASH TAG متي يصدر قرار العشرين ! ! ! ! ! !"
---
Sub 4 | 142 |
rjbownes/lovelace-evaluator | null | Entry not found | 15 |
rodrigogelacio/autonlp-department-classification-534915130 | [
"asta",
"bim",
"fachschaften",
"familienbuero",
"frauen_und_gleichstellung",
"international_office",
"lanadema",
"mathecafe",
"pruefungsamt",
"studienverlaufsberatung",
"studieren_mit_behinderung",
"studierendensekretariat"
] | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- rodrigogelacio/autonlp-data-department-classification
co2_eq_emissions: 1.4862856774320061
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 534915130
- CO2 Emissions (in grams): 1.4862856774320061
... | 1,463 |
savasy/TurkQP | null | Entry not found | 15 |
sbrandeis/autonlp-emotion-clf | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- sbrandeis/autonlp-data-emotion-classification-pre
co2_eq_emissions: 23.4692320403666
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 3252433
- CO2 Emissions (in grams): 23.4692320403666
## Validati... | 1,436 |
seanbenhur/MuLTiGENBiaS | [
"NOT-GENDER-BIASED",
"GENDER-BIASED"
] | ---
language:
- "hn"
- "bn"
- "mn"
tags:
- Text Classification
license: wtfpl
datasets:
- ComMA
metrics:
- F1-Score
widget:
- text: "but who in the holy hell says to relate with it,or inspired by it😂😂,i'm a 23 yr old student,and i say it's wrong,watch for entertainment purpose,and those who get inspired by s... | 2,363 |
simonmun/Lo_SentenceClassification | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
sismetanin/mbart_large-financial_phrasebank | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/rubert-ru-sentiment-sentirueval2016 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/sbert-ru-sentiment-krnd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language:
- ru
tags:
- sentiment analysis
- Russian
- SBERT-Large
---
## SBERT-Large on Kaggle Russian News Dataset
<table>
<thead>
<tr>
<th rowspan="4">Model</th>
<th rowspan="4">Score<br></th>
<th rowspan="4">Rank</th>
<th colspan="12">Dataset</th>
</tr>
<tr>
<td colspan="6">SentiRuE... | 4,963 |
socialmediaie/TRAC2020_ALL_B_bert-base-multilingual-uncased | null | # Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020
Models and predictions for submission to TRAC - 2020 Second Workshop on Trolling, Aggression and Cyberbullying.
Our trained models as well as evaluation metrics during traing are available at: ht... | 5,074 |
socialmediaie/TRAC2020_HIN_A_bert-base-multilingual-uncased | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | # Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020
Models and predictions for submission to TRAC - 2020 Second Workshop on Trolling, Aggression and Cyberbullying.
Our trained models as well as evaluation metrics during traing are available at: ht... | 5,074 |
textattack/albert-base-v2-STS-B | [
"LABEL_0"
] | ## TextAttack Model Card
This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the `nlp` library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 3e-05, and a maximum sequence length of 128.
Since this was a regres... | 632 |
tk3879110/bert_cn_finetuning | null | Entry not found | 15 |
tucan9389/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 |
vkk1710/xlnet-base-cased-finetuned-qqp | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: xlnet-base-cased-finetuned-qqp
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. -... | 1,200 |
vuiseng9/bert-base-uncased-mnli | [
"contradiction",
"entailment",
"neutral"
] | This model is developed with transformers v4.10.3.
# Train
```bash
#!/usr/bin/env bash
export CUDA_VISIBLE_DEVICES=0
OUTDIR=bert-based-uncased-mnli
WORKDIR=transformers/examples/pytorch/text-classification
cd $WORKDIR
nohup python run_glue.py \
--model_name_or_path bert-base-uncased \
--task_name mnli \
... | 1,011 |
w11wo/javanese-distilbert-small-imdb-classifier | null | ---
language: jv
tags:
- javanese-distilbert-small-imdb-classifier
license: mit
datasets:
- w11wo/imdb-javanese
widget:
- text: "Aku babar pisan ora nikmati film iki."
---
## Javanese DistilBERT Small IMDB Classifier
Javanese DistilBERT Small IMDB Classifier is a movie-classification model based on the [DistilBERT mod... | 2,964 |
wangyuwei/bert_cn_finetuning | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
widyanto/indobert-base-uncased-qa-evaluator | null | Entry not found | 15 |
ychu4/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... | 1,998 |
yoshitomo-matsubara/bert-base-uncased-wnli | null | ---
language: en
tags:
- bert
- wnli
- glue
- torchdistill
license: apache-2.0
datasets:
- wnli
metrics:
- accuracy
---
`bert-base-uncased` fine-tuned on WNLI dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshitomo-m... | 826 |
yoshitomo-matsubara/bert-large-uncased-mrpc | null | ---
language: en
tags:
- bert
- mrpc
- glue
- torchdistill
license: apache-2.0
datasets:
- mrpc
metrics:
- f1
- accuracy
---
`bert-large-uncased` fine-tuned on MRPC dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/github/yoshi... | 833 |
younes9/AI-DAY-distilbert-base-uncased-finetuned-cola | [
"acceptable",
"unacceptable"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: AI-DAY-distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
... | 2,014 |
inovex/multi2convai-quality-it-bert | [
"neo.magnetklammern",
"neo.start",
"neo.back",
"neo.gearbox",
"neo.motor.brushcollar",
"neo.motor.worm",
"neo.magnet",
"neo.magnetisierung",
"neo.motor",
"neo.verschaubung",
"neo.zusammenfuehrung",
"neo.zahnradgross",
"neo.zahnradklein",
"neo.yes",
"neo.no",
"neo.einpressen",
"neo.mo... | ---
tags:
- text-classification
widget:
- text: "Avviare il programma"
license: mit
language: it
---
# Multi2ConvAI-Quality: finetuned Bert for Italian
This model was developed in the [Multi2ConvAI](https://multi2conv.ai) project:
- domain: Quality (more details about our use cases: ([en](https://multi2c... | 968 |
sarahlmk/autonlp-imdb-classification-596216804 | [
"negative",
"positive"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- sarahlmk/autonlp-data-imdb-classification
co2_eq_emissions: 274.81371614671764
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 596216804
- CO2 Emissions (in grams): 274.81371614671764
## Validation Metr... | 1,167 |
vocab-transformers/cross_encoder-msmarco-distilbert-word2vec256k | [
"LABEL_0"
] | #cross_encoder-msmarco-word2vec256k
This CrossEncoder was trained with MarginMSE loss from the [nicoladecao/msmarco-word2vec256000-distilbert-base-uncased](https://hf.co/nicoladecao/msmarco-word2vec256000-distilbert-base-uncased) checkpoint. **Word embedding matrix has been frozen during training**.
You can load ... | 635 |
frahman/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
... | 1,890 |
frahman/distilbert-base-uncased-distilled-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-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 2,201 |
jonghyuk/LJP | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_100",
"LABEL_101",
"LABEL_102",
"LABEL_103",
"LABEL_104",
"LABEL_105",
"LABEL_106",
"LABEL_107",
"LABEL_108",
"LABEL_109",
"LABEL_11",
"LABEL_110",
"LABEL_111",
"LABEL_112",
"LABEL_113",
"LABEL_114",
"LABEL_115",
"LABEL_116",
"LABEL_... | Entry not found | 15 |
shahrukhx01/gbert-hasoc-german-2019 | null | ---
language: "de"
tags:
- hate-speech-classification
widget:
- text: "Das ist der absolute Gipfel! Lächerliche 2,5 Jahre Haft für einen extremst sadistischen Mord. Ich fasse es nicht. Das sitzt der Killer auf der linken Arschbacke ab und lacht sich dabei kaputt. Unsere Justiz ist nur noch zum Kotzen."
- tex... | 2,459 |
gpucce/ProSolAdv_full_train | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
hackathon-pln-es/class-poems-es | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
widget:
- text: "El amor es una experiencia universal que nos conmueve a todos, pero a veces no hallamos las palabras adecuadas para expresarlo. A lo largo de la historia los poetas han sabido decir aquello que todos sentimos de formas creativas y elocuentes."
- te... | 3,821 |
patrickvonplaten/deberta_amazon_reviews_v1 | [
"very unsatisfied",
"unsatisfied",
"neutral",
"satisfied",
"very satisfied"
] | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta_amazon_reviews_v1
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. -->
# deberta_amazon_r... | 1,097 |
princeton-nlp/CoFi-MNLI-s60 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 60% sparsity on dataset MNLI. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the m... | 435 |
redwoodresearch/injuriousness-classifier-29apr-manual | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
redwoodresearch/injuriousness-classifier-29apr-paraphrases | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
mp6kv/paper_feedback_intent | [
"negative",
"neutral",
"positive"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: paper_feedback_intent
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... | 2,314 |
moshew/bert-tiny-emotion-distilled | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
hackathon-pln-es/unam_tesis_BETO_finnetuning | [
"Actuaría",
"Derecho",
"Economía",
"Psicología",
"Química Farmaceútico Biológica"
] | ---
annotations_creators:
- inoid
- MajorIsaiah
- Ximyer
- clavel
tags:
- "transformers"
- "text-classification"
languages: "es"
license: "apache-2.0"
datasets: "unam_tesis"
metrics: "accuracy"
widget:
- text: "Introducción al análisis de riesgos competitivos bajo el enfoque de la función de incidencia acumulada (FI... | 3,143 |
yj2773/distilbert-base-uncased-fakenews-classif-task | [
"Fake",
"Real"
] | ---
license: afl-3.0
---
#### DATASET: [Fake and real news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)
#### Matthews correlation: 0.998 | 178 |
malcolm/TSC_finetuning-sentiment-movie-model2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TSC_finetuning-sentiment-movie-model2
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 ... | 1,209 |
vabadeh213/autotrain-iine_classification10-737422470 | [
"0",
"1"
] | ---
tags: autotrain
language: ja
widget:
- text: "RustでWebAssemblyインタプリタを作った話+webassembly+rust"
- text: "Goのロギングライブラリ 2021年冬 golang library logging go"
- text: "VimとTUIツールをなめらかに切り替える ranger tig git vim"
datasets:
- vabadeh213/autotrain-data-iine_classification10
co2_eq_emissions: 7.351885824089346
---
# Model Trained ... | 1,366 |
malcolm/REA_GenderIdentification_v1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: REA_GenderIdentification_v1
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 thi... | 1,190 |
jason9693/soongsil-bert-small-apeach | [
"Default",
"Spoiled"
] | ---
language: ko
widget:
- text: "응 어쩔티비~~"
datasets:
- jason9693/APEACH
co2_eq_emissions: 0.01856239042036965
--- | 114 |
joniponi/communication-classifier | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: communication-classifier
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. -->
# communicat... | 1,265 |
manueldeprada/ctTREC-distillbert-correct-classifier-trec2020 | [
"NEGATIVE",
"POSITIVE"
] | Entry not found | 15 |
tuhailong/cross_encoder_roberta-wwm-ext_v2 | [
"LABEL_0"
] | ---
language: zh
tags:
- cross-encoder
datasets:
- dialogue
---
# Data
train data is similarity sentence data from E-commerce dialogue, about 50w sentence pairs.
## Model
model created by [sentence-tansformers](https://www.sbert.net/index.html)，model struct is cross-encoder, pretrained model is hfl/chinese-roberta-ww... | 888 |
sanime/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
jackmleitch/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
... | 1,883 |
manueltonneau/bert-twitter-es-lost-job | null | ---
language: es # <-- my language
widget:
- text: "Hoy perdí mi trabajo..."
---
# Detection of employment status disclosures on Twitter
## Model main characteristics:
- class: Lost Job (1), else (0)
- country: MX
- language: Spanish
- architecture: BERT base
## Model description
This model is a version o... | 1,092 |
jyotsana/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
ptaszynski/japan-orientalization-pl | null | ---
language: pl
license: cc-by-sa-4.0
datasets:
- 18th and 19th century articles mentioning Japan
---
# Model for detection of Orientalization of Japan in newspaper articles
This model was based on the original [HerBERT](https://huggingface.co/allegro/herbert-base-cased) Base.
The model was finetuned on a set... | 1,800 |
sileod/roberta-base-discourse-marker-prediction | [
"[no-conn]",
"absolutely,",
"accordingly",
"actually,",
"additionally",
"admittedly,",
"afterward",
"again,",
"already,",
"also,",
"alternately,",
"alternatively",
"although,",
"altogether,",
"amazingly,",
"and",
"anyway,",
"apparently,",
"arguably,",
"as_a_result,",
"basical... | ---
language:
- en
tags:
- discourse-marker-prediction
- discourse-connective-prediction
- discourse-connective
- discourse-marker
- discourse-relation-prediction
- pragmatics
- discourse
license: apache-2.0
datasets:
- discovery
metrics:
- accuracy
widget:
- text: "But no, Amazon selling 3D printers is not new.</s></s... | 1,490 |
ml4pubmed/BioM-BERT-PubMed-PMC-Large_pub_section | [
"BACKGROUND",
"CONCLUSIONS",
"METHODS",
"OBJECTIVE",
"RESULTS"
] | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: "Many pathogenic processes and diseases are the result of an erroneous activation of the complement cascade and a number of inhibitors of complement have thus been examined for anti-inflammatory actions."
example_tit... | 1,805 |
himanshusrtekbox/distilbert-base-uncased-finetuned-emotion | [
"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",... | Entry not found | 15 |
mrm8488/electricidad-base-finetuned-parmex | null | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: electricidad-base-finetuned-parmex
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. -->
# electr... | 1,443 |
florentgbelidji/all-mpnet-base-v2__tweet_eval_emotion__classifier | [
"anger",
"joy",
"optimism",
"sadness"
] | Entry not found | 15 |
sismetanin/ruroberta-ru-rusentitweet | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | precision recall f1-score support
negative 0.733238 0.778788 0.755327 660
neutral 0.757962 0.779963 0.768805 1068
positive 0.722793 0.728778 0.725773 483
skip 0.660714 0.501355 0.570108 369
speech 0.767857 0.868687 0.815166 ... | 631 |
taskydata/DeBERTa-v3-128 | null | ---
license: apache-2.0
---
**Hyperparameters:**
- learning rate: 2e-5
- weight decay: 0.01
- per_device_train_batch_size: 16
- per_device_eval_batch_size: 16
- gradient_accumulation_steps:1
- eval steps: 5000
- max_length: 128
- num_epochs: 3
**Dataset version:**
- “craffel/tasky_or_not”, “10xp3_10xc4”,... | 1,199 |
Amalq/autotrain-smm4h_large_roberta_clean-874027878 | [
"0",
"1"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- Amalq/autotrain-data-smm4h_large_roberta_clean
co2_eq_emissions: 9.123490454955585
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 874027878
- CO2 Emissions (in grams): 9.123490454955585
## Valid... | 1,229 |
taskydata/DeBERTa-v3-512 | null | ---
license: apache-2.0
---
**Hyperparameters:**
- learning rate: 2e-5
- weight decay: 0.01
- per_device_train_batch_size: 8
- per_device_eval_batch_size: 8
- gradient_accumulation_steps:1
- eval steps: 6000
- max_length: 512
- num_epochs: 2
**Dataset version:**
- “craffel/tasky_or_not”, “10xp3_10xc4”, “... | 1,289 |
hungchiayu/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
nreimers/mmarco-mMiniLMv2-L6-H384-v1 | [
"LABEL_0"
] | Entry not found | 15 |
ocm/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 |
viviastaari/finetuning-sentiment-analysis-en | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: finetuning-sentiment-analysis-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and co... | 1,706 |
kimcando/final_projects | null | Entry not found | 15 |
ryan1998/distilbert-base-uncased-finetuned-emotion | [
"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",... | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
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 |
rainbow/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
upsalite/bert-base-german-cased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-finetuned-emotion
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 remo... | 2,061 |
wuxiaofei/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... | 1,503 |
philschmid/DistilBERT-Banking77 | [
"Refund_not_showing_up",
"activate_my_card",
"age_limit",
"apple_pay_or_google_pay",
"atm_support",
"automatic_top_up",
"balance_not_updated_after_bank_transfer",
"balance_not_updated_after_cheque_or_cash_deposit",
"beneficiary_not_allowed",
"cancel_transfer",
"card_about_to_expire",
"card_acc... | ---
tags: autotrain
language: en
widget:
- text: I am still waiting on my card?
datasets:
- banking77
model-index:
- name: BERT-Banking77
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: BANKING77
type: banking77
metrics:
- name: Accuracy
... | 2,989 |
seonghee/bert-base-uncased-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
mmillet/distilrubert-tiny-cased-conversational-v1_finetuned_emotion_experiment_augmented_anger_fear | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilrubert-tiny-cased-conversational-v1_finetuned_emotion_experiment_augmented_anger_fear
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access t... | 3,442 |
titi7242229/roberta-base-bne-finetuned_personality_multi | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned_personality_multi
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | 2,575 |
louisdeco/camembert-base-finetuned-RankLineCause | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
model-index:
- name: camembert-base-finetuned-RankLineCause
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, th... | 1,537 |
justpyschitry/Medical_Article_Classifier_by_ICD-11_Chapter | [
"Certain infectious or parasitic diseases",
"Developmental anaomalies",
"Diseases of the blood or blood forming organs",
"Diseases of the genitourinary system",
"Mental behavioural or neurodevelopmental disorders",
"Neoplasms",
"certain conditions originating in the perinatal period",
"conditions rela... | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- justpyschitry/autotrain-data-Psychiatry_Article_Identifier
co2_eq_emissions: 0.021794705501614994
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 990132820
- CO2 Emissions (in grams): 0.02179... | 1,496 |
fourthbrain-demo/finetuning-sentiment-model-3000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | 1,199 |
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