modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
YeRyeongLee/albert-base-v2-finetuned-filtered-0609 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: albert-base-v2-finetuned-filtered-0609
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread ... | 2,403 |
kullackaan/sentiment-tweets | [
"Negative",
"Notr",
"Positive"
] | ---
license: afl-3.0
---
| 25 |
ABDPOOR/pft-clf-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
karthid/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,804 |
annahaz/distilbert-base-multilingual-cased-finetuned-misogyny-multilingual | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny-multilingual
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. Yo... | 2,586 |
Gunulhona/tbecmodel_v2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
domenicrosati/deberta-v3-large-dapt-scientific-papers-pubmed-finetuned-DAGPap22 | null | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: deberta-v3-large-dapt-scientific-papers-pubmed-finetuned-DAGPap22
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shoul... | 2,409 |
dminiotas05/distilbert-base-uncased-finetuned-ft500 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-ft500
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... | 1,713 |
dminiotas05/distilbert-base-uncased-finetuned-ft500_4class | [
"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_4class
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | 1,727 |
Eleven/distilbert-base-uncased-finetuned-news | [
"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-news
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... | 1,481 |
Kayvane/distilbert-complaints-wandb | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"LABEL_17",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- consumer-finance-complaints
metrics:
- accuracy
- f1
- recall
- precision
model-index:
- name: distilbert-complaints-wandb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: consumer-finance-com... | 2,511 |
ultra-coder54732/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... | 1,038 |
danielreales00/fine-tuned-ai-ss-hs-01 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: fine-tuned-ai-ss-hs-01
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 1,804 |
wooihen/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,806 |
Zamachi/RoBERTa-for-multilabel-sentence-classification | [
"anger",
"joy",
"optimism",
"sadness"
] | Entry not found | 15 |
skr1125/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,805 |
PGT/graphnystromformer-artificial-balanced-max500-490000-1 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
jinwooChoi/hjw_small_1 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/SKKU_AP_SA_KBT3 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/hjw_small2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/hjw_small3 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/SKKU_AP_SA_KES_trained2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
ar2rpapian/autotrain-Flexport_Classification_Desc-1155542601 | [
": Instruments, apparatus and models, designed for demonstrational purposes (for example, in education or exhibitions), unsuitable for other uses, and parts and accessories thereof",
": Printed circuits: Other",
"Air conditioning machines, comprising a motor-driven fan and elements for changing the temperature ... | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ar2rpapian/autotrain-data-Flexport_Classification_Desc
co2_eq_emissions: 206.60369255723003
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1155542601
- CO2 Emissions (in grams): 206.603692557... | 1,480 |
ASCCCCCCCC/PENGMENGJIE-finetuned-mix_info | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
domenicrosati/deberta-v3-large-finetuned-synthetic-multi-class | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: deberta-v3-large-finetuned-synthetic-multi-class
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 1,756 |
tk648/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,806 |
fadhilarkan/distilbert-base-uncased-finetuned-cola-4 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola-4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 2,109 |
fadhilarkan/distilbert-base-uncased-finetuned-cola | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | 2,105 |
federicopascual/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 |
fgaim/tielectra-small-sentiment | [
"NEGATIVE",
"POSITIVE"
] | ---
language: ti
widget:
- text: "ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር"
metrics:
- f1
- precision
- recall
- accuracy
model-index:
- name: tielectra-small-sentiment
results:
- task:
name: Text Classification
type: text-classification
metrics:
- name: F1
type: f1
value: 0.82289... | 1,991 |
foundkim/topic_classifier | [
"chiffres",
"mesures",
"opinions",
"symptômes",
"divers"
] | Entry not found | 15 |
gagandeepkundi/latam-question-quality | [
"High Quality",
"Low Quality"
] | ---
tags: autonlp
language: es
widget:
- text: "I love AutoNLP 🤗"
datasets:
- gagandeepkundi/autonlp-data-text-classification
co2_eq_emissions: 20.790169878009916
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 19984005
- CO2 Emissions (in grams): 20.790169878009916
## Validation... | 1,188 |
gchhablani/fnet-large-finetuned-cola-copy5 | [
"acceptable",
"unacceptable"
] | Entry not found | 15 |
gchhablani/fnet-large-finetuned-stsb | [
"LABEL_0"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: fnet-large-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
args: stsb
metrics... | 1,916 |
hyunwoongko/zhberta-base-zh-xnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
ikevin98/bert-base-uncased-finetuned-sst2-sst2-membership | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model_index:
name: bert-base-uncased-finetuned-sst2-sst2-membership
---
<!-- 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 t... | 1,414 |
ismaelardo/BETO_4d | [
"1211",
"1212",
"1219",
"1221",
"1323",
"1324",
"1330",
"1345",
"1412",
"1420",
"2141",
"2142",
"2143",
"2144",
"2145",
"2151",
"2161",
"2166",
"2221",
"2242",
"2243",
"2310",
"2330",
"2341",
"2342",
"2351",
"2411",
"2413",
"2421",
"2423",
"2424",
"2431"... | Entry not found | 15 |
jambo/marker-associations-snp-binary-base | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- marker-associations-snp-binary-base
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: marker-associations-snp-binary-base
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: marker-asso... | 2,691 |
jinmang2/bert-base-ko-kornli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
juliensimon/autonlp-song-lyrics-18753417 | [
"Dance",
"Heavy Metal",
"Hip Hop",
"Indie",
"Pop",
"Rock"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- juliensimon/autonlp-data-song-lyrics
co2_eq_emissions: 112.75546781635975
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 18753417
- CO2 Emissions (in grams): 112.75546781635975
## Validation Metri... | 1,390 |
kamivao/autonlp-entity_selection-5771228 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- kamivao/autonlp-data-entity_selection
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 5771228
## Validation Metrics
- Loss: 0.17127291858196259
- Accuracy: 0.9206671174216813
- Precision: 0.95888857385... | 1,092 |
katrin-kc/bert-finetuned-imdb | null | Entry not found | 15 |
liuchenyang33/bert_cn_finetuning | null | Entry not found | 15 |
m3hrdadfi/zabanshenas-roberta-base-mix | [
"ace",
"afr",
"als",
"amh",
"ang",
"ara",
"arg",
"arz",
"asm",
"ast",
"ava",
"aym",
"azb",
"aze",
"bak",
"bar",
"bcl",
"be-tarask",
"bel",
"ben",
"bho",
"bjn",
"bod",
"bos",
"bpy",
"bre",
"bul",
"bxr",
"cat",
"cbk",
"cdo",
"ceb",
"ces",
"che",
"chr... | ---
language: multilingual
license: apache-2.0
datasets:
- wili_2018
---
# Zabanshenas - Language Detector
Zabanshenas is a Transformer-based solution for identifying the most likely language of a written document/text. Zabanshenas is a Persian word that has two meanings:
- A person who studies linguistics.
- A way ... | 56,172 |
madlag/bert-large-uncased-mnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ## BERT-large finetuned on MNLI.
The [reference finetuned model](https://github.com/google-research/bert) has an accuracy of 86.05, we get 86.7:
```
{'eval_loss': 0.3984006643295288, 'eval_accuracy': 0.8667345899133979}
``` | 226 |
malteos/arqmath-bert-base-cased | null | Entry not found | 15 |
marcelcastrobr/sagemaker-distilbert-emotion-2 | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion-2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... | 1,796 |
masapasa/sagemaker-distilbert-emotion | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... | 1,666 |
maximedb/autonlp-vaccinchat-22134694 | [
"chitchat_ask_bye",
"chitchat_ask_hi",
"chitchat_ask_hi_de",
"chitchat_ask_hi_en",
"chitchat_ask_hi_fr",
"chitchat_ask_hoe_gaat_het",
"chitchat_ask_name",
"chitchat_ask_thanks",
"faq_ask_aantal_gevaccineerd",
"faq_ask_aantal_gevaccineerd_wereldwijd",
"faq_ask_afspraak_afzeggen",
"faq_ask_afspr... | ---
tags: autonlp
language: nl
widget:
- text: "I love AutoNLP 🤗"
datasets:
- maximedb/autonlp-data-vaccinchat
co2_eq_emissions: 14.525955245648218
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 22134694
- CO2 Emissions (in grams): 14.525955245648218
## Validation Metrics
... | 1,373 |
michaelrglass/albert-base-rci-wtq-col | null | Entry not found | 15 |
morenolq/SumTO_FNS2020 | [
"LABEL_0"
] | This is the *best performing* model used in the paper: "End-to-end Training For Financial Report Summarization"
https://www.aclweb.org/anthology/2020.fnp-1.20/ | 162 |
moshew/minylm-L3-aug-sst2-distilled | [
"0",
"1"
] | {'test_accuracy': 0.911697247706422,
'test_loss': 0.24090610444545746,
'test_runtime': 0.4372,
'test_samples_per_second': 1994.475,
'test_steps_per_second': 16.011} | 168 |
nihaldsouza1/yelp-rating-classification | [
"1star",
"2star",
"3star",
"4star",
"5star"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- nihaldsouza1/autonlp-data-yelp-rating-classification
co2_eq_emissions: 15.62335109262394
---
# Custom-trained user model
- Problem type: Multi-class Classification
- Model ID: 545015430
- CO2 Emissions (in grams): 15.62335109262394
## Val... | 1,452 |
nurkayevaa/autonlp-bert-covid-407910467 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- nurkayevaa/autonlp-data-bert-covid
co2_eq_emissions: 10.719439124704492
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 407910467
- CO2 Emissions (in grams): 10.719439124704492
## Validation Metrics
- ... | 1,172 |
osanseviero/distilbert-base-uncased-finetuned-emotion | [
"sadness",
"joy",
"love",
"anger",
"fear",
"surprise"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,799 |
profoz/mlops-demo | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language:
- en
tags:
- classification
- sequence-classification
license: apache-2.0
---
Github repository [here](https://github.com/sinanuozdemir/oreilly-transformers-nlp) | 177 |
scaperex/online-harassment-bert2 | null | Entry not found | 15 |
seanbenhur/manglish-offensive-language-identification | [
"NOT-OFFENSIVE",
"OFFENSIVE"
] | Model Card coming soon | 22 |
sgugger/bert-fine-tuned-cola | [
"acceptable",
"unacceptable"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-fine-tuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: ... | 1,807 |
tals/albert-xlarge-vitaminc | [
"NOT ENOUGH INFO",
"REFUTES",
"SUPPORTS"
] | ---
language: python
datasets:
- fever
- glue
- tals/vitaminc
---
# Details
Model used in [Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence](https://aclanthology.org/2021.naacl-main.52/) (Schuster et al., NAACL 21`).
For more details see: https://github.com/TalSchuster/VitaminC
When using this m... | 2,357 |
techthiyanes/Bert_Bahasa_Sentiment | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
model = AutoModelForSequenceClassification.from_pretrained('techthiyanes/Bert_Bahasa_Sentiment')
inputs = tokenizer("saya tidak", return_tensors="pt")
labels = torch.tensor([1]).uns... | 434 |
tucan9389/kcbert-base-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- accuracy
model-index:
- name: kcbert-base-finetuned
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: ynat
metrics:
- name: Accuracy
type: accuracy
... | 1,808 |
unicamp-dl/mMiniLM-L6-v2-en-pt-msmarco-v2 | [
"LABEL_0"
] | ---
language: pt
license: mit
tags:
- msmarco
- miniLM
- pytorch
- tensorflow
- pt
- pt-br
datasets:
- msmarco
widget:
- text: "Texto de exemplo em português"
inference: false
---
# mMiniLM-L6-v2 Reranker finetuned on mMARCO
## Introduction
mMiniLM-L6-v2-en-pt-msmarco-v2 is a multilingual miniLM-based model finetuned o... | 1,520 |
vicd/sentiment | null | Entry not found | 15 |
xiongjie/face-expression-ja | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
yoshitomo-matsubara/bert-base-uncased-cola | null | ---
language: en
tags:
- bert
- cola
- glue
- torchdistill
license: apache-2.0
datasets:
- cola
metrics:
- matthew's correlation
---
`bert-base-uncased` fine-tuned on CoLA dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/githu... | 839 |
yunsizhang/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,798 |
niksmer/PolicyBERTa-7d | [
"economy",
"external relations",
"fabric of society",
"freedom and democracy",
"political system",
"social groups",
"welfare and quality of life"
] | ---
license: mit
language:
- en
metrics:
- accuracy
- precision
- recall
model-index:
- name: PolicyBERTa-7d
results: []
widget:
- text: "Russia must end the war."
- text: "Democratic institutions must be supported."
- text: "The state must fight political corruption."
- text: "Our energy economy must be nationalis... | 13,717 |
jcai1/sentence_similarity_concierge | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sentence_similarity_concierge
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 t... | 1,540 |
pritamdeka/PubMedBert-PubMed200kRCT | [
"BACKGROUND",
"CONCLUSIONS",
"METHODS",
"OBJECTIVE",
"RESULTS"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
widget:
- text: "SAMPLE 32,441 archived appendix samples fixed in formalin and embedded in paraffin and tested for the presence of abnormal prion protein (PrP)."
model-index:
- name: PubMedBert-PubMed200kRCT
results: []
---
<!-- This model card has... | 3,538 |
fenixobia/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 |
lijingxin/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,801 |
kyleinincubated/autonlp-abbb-622117836 | [
"专业公共卫生",
"中等职业学校教育",
"中药",
"中药材种植",
"中药生产",
"临床检验",
"乘用车",
"互联网安全服务",
"互联网平台",
"互联网服务",
"交通运输",
"人身保险",
"传媒",
"传感器设计",
"住宿",
"体育",
"体育场馆建筑",
"供水",
"保险",
"保险代理",
"保险经纪",
"保障性住房开发",
"信息技术",
"信托",
"健康体检",
"公交",
"公募基金",
"公用事业",
"典当",
"兽药产品",
"内贸",
"再保险",
... | ---
tags: autonlp
language: zh
widget:
- text: "I love AutoNLP 🤗"
datasets:
- kyleinincubated/autonlp-data-abbb
co2_eq_emissions: 2.22514962526191
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 622117836
- CO2 Emissions (in grams): 2.22514962526191
## Validation Metrics
- ... | 1,379 |
rurupang/roberta-base-finetuned-sts | [
"LABEL_0"
] | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- pearsonr
model-index:
- name: roberta-base-finetuned-sts
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: sts
metrics:
- name: Pearsonr
type: pearso... | 2,501 |
vicl/canine-s-finetuned-stsb | [
"LABEL_0"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: canine-s-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
- name: Spearman... | 1,920 |
jaumefib/datathon-against-racism | null | ---
license: mit
language: es
widget:
- text: "Los mejores libros de Abdulrazak Gurnah, el ganador del Nobel de Literatura."
example_title: "Non-racist example"
- text: "Ya están detenidos dos rumanos señalados de cometer fraudes bancarios."
example_title: "Racist example"
---
Model that automatically classifies ... | 553 |
optimum/MiniLMv2-L12-H384-distilled-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... | ---
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: MiniLMv2-L12-H384-distilled-from-RoBERTa-Large-distilled-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
... | 2,272 |
lewtun/sagemaker-distilbert-emotion-1 | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion-1
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... | 1,796 |
profoz/toxic-distilbert | [
"Non-Toxic",
"Toxic"
] | Entry not found | 15 |
xma/gptj-small-train-test | null | ---
license: ecl-2.0
---
| 25 |
haohaoxuexi/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,805 |
theta/Argument_Type_Bert | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
language:
- zh
tags:
- Argument_Type_Bert
- zh
- zh-tw
- generated_from_trainer
model-index:
- name: Argument_Type_Bert
results: []
---
這邊是開發分支，不穩定。 | 154 |
gzomer/claim-spotter-multilingual | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: claim-spotter-multilingual
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. -... | 1,408 |
ndavid/binary-qa-bert | null | Entry not found | 15 |
tuhailong/cross_encoder_electra-180g-large-discriminator | [
"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-electra-180... | 666 |
jenspt/bert_classification_27_04 | null | Entry not found | 15 |
nickmuchi/facebook-data2vec-finetuned-finance-classification | [
"bearish",
"bullish",
"neutral"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: fb-data2vec-finetuned-finance-classification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread a... | 2,887 |
rycont/koelectra-bible-classifier | [
"LABEL_0"
] | Entry not found | 15 |
fgaim/tiroberta-geezswitch | [
"Amharic",
"Blin",
"Ge'ez",
"Tigre",
"Tigrinya"
] | ---
language: ti
widget:
- text: "ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር"
- text: "ወአመ ሳብዕት ዕለት ቦዘወፅአ እምውስተ ሕዝብ ከመ ያስተጋብእ ወኢረከበ።"
- text: "እሊ እግል ኖሱ አሳስ ተጠውር ወዐቦት ክምሰልቱ ሸክ ኢወትውዴ።"
- text: "ኣኩኽር ፡ ልሽክክ ናው ጀረቢነዅስክ ክሙኑኽር ክራውል ሕበርሲድኖ ገረሰነኵ።"
- text: "ነገ ለግማሽ ፍፃሜ ያለፉትን አሳውቀንና አስመርጠናችሁ እንሸልማለን።"
tags:
- geezlab
metrics:... | 1,588 |
fgaim/tielectra-geezswitch | [
"Amharic",
"Blin",
"Ge'ez",
"Tigre",
"Tigrinya"
] | ---
language: ti
widget:
- text: "ድምጻዊ ኣብርሃም ኣፈወርቂ ንዘልኣለም ህያው ኮይኑ ኣብ ልብና ይነብር"
- text: "ወአመ ሳብዕት ዕለት ቦዘወፅአ እምውስተ ሕዝብ ከመ ያስተጋብእ ወኢረከበ።"
- text: "እሊ እግል ኖሱ አሳስ ተጠውር ወዐቦት ክምሰልቱ ሸክ ኢወትውዴ።"
- text: "ኣኩኽር ፡ ልሽክክ ናው ጀረቢነዅስክ ክሙኑኽር ክራውል ሕበርሲድኖ ገረሰነኵ።"
- text: "ነገ ለግማሽ ፍፃሜ ያለፉትን አሳውቀንና አስመርጠናችሁ እንሸልማለን።"
tags:
- geezlab
metrics:... | 1,590 |
mrm8488/data2vec-text-base-finetuned-stsb | [
"LABEL_0"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: data2vec-text-base-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
- name: Spear... | 1,972 |
mrm8488/data2vec-text-base-finetuned-sst2 | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: data2vec-text-base-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accura... | 1,881 |
ml4pubmed/albert-base-v2_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... | 1,638 |
philschmid/sagemaker-distilbert-emotion | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
model-index:
- name: sagemaker-distilbert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default
metrics:
... | 2,847 |
tomhosking/deberta-v3-base-debiased-nli | [
"CONTRADICTION",
"ENTAILMENT",
"NEUTRAL"
] | ---
license: apache-2.0
widget:
- text: "[CLS] Rover is a dog. [SEP] Rover is a cat. [SEP]"
---
`deberta-v3-base`, fine tuned on the debiased NLI dataset from "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets", Wu et al., 2022.
Tuned using the code at https://github.com/jimmyco... | 340 |
pglauner/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: emotion
type: emotion
args: default... | 1,807 |
luckydog/bert-base-chinese-finetuned-mosei | null | Entry not found | 15 |
nam7197/vi-nli-xml-roberta-base | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | # Dataset: https://huggingface.co/datasets/xnli/viewer/vi/train
# Github: https://github.com/namlv97/vi-nli-xlm-roberta-base
```python
>>> import torch
>>> from transformers import AutoTokenizer,AutoModelForSequenceClassification
>>> tokenizer = AutoTokenizer.from_pretrained('xlm-roberta-base')
>>> model=AutoModelFor... | 1,354 |
wanghao2023/uganda-labor-market-interview-text-classification | [
"is_info",
"is_motivation",
"is_neutral",
"is_referral",
"is_strategy",
"is_tip"
] | ---
language: en
license: mit
---
# Uganda Labor Market Interview Text Classification
This model is a fine-tuned [Roberta base model](https://huggingface.co/roberta-base) using text transcripts of interviews between Vocational Training Institutes (VTI) students and their successful alumni in Uganda on the subject of ... | 4,129 |
yukta10/finetuning-sentiment-model-3000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
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, then remove... | 1,142 |
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