modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
miyagawaorj/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
... | 2,195 |
kangaroo927/test_auto_protocol | [
"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
model-index:
- name: test_auto_protocol
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. -->
# test_auto_protoc... | 996 |
ferjeffQ/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: ... | 1,753 |
flood/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
... | 2,200 |
mmillet/distilrubert_tiny-2nd-finetune-epru | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilrubert_tiny-2nd-finetune-epru
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 r... | 2,382 |
xliu128/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... | 1,804 |
philschmid/gpu-xlm-roberta-large-amazon-massive | [
"alarm",
"audio",
"calendar",
"cooking",
"datetime",
"email",
"general",
"iot",
"lists",
"music",
"news",
"play",
"qa",
"recommendation",
"social",
"takeaway",
"transport",
"weather"
] | Entry not found | 15 |
okite97/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... | 1,806 |
jdang/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 |
LACAI/roberta-large-PFG-progression | [
"LABEL_0"
] | ---
license: mit
---
Base model: [roberta-large](https://huggingface.co/roberta-large)
Fine tuned as a progression model (to predict the acceptability of a dialogue) on the [Persuasion For Good Dataset](https://gitlab.com/ucdavisnlp/persuasionforgood) (Wang et al., 2019):
Given a complete dialogue from (or in the st... | 797 |
moonzi/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 |
annahaz/distilbert-base-multilingual-cased-finetuned-misogyny-sexism | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-multilingual-cased-finetuned-misogyny-sexism
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shou... | 2,571 |
Sayan01/tiny-bert-qqp-128-distilled | [
"duplicate",
"not_duplicate"
] | Entry not found | 15 |
ltrctelugu/tree_topconstituents | [
"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_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | hello
| 6 |
dminiotas05/distilbert-base-uncased-finetuned-ft500_6class | [
"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_6class
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete ... | 1,726 |
MilaNLProc/hate-ita-xlm-r-base | [
"hateful",
"non-hateful"
] | ---
language: it
license: mit
tags:
- text classification
- abusive language
- hate speech
- offensive language
widget:
- text: "Ci sono dei bellissimi capibara!"
example_title: "Hate Speech Classification 1"
- text: "Sei una testa di cazzo!!"
example_title: "Hate Speech Classification 2"
- text: "Ti odio!"
exam... | 3,104 |
MilaNLProc/hate-ita-xlm-r-large | [
"hateful",
"non-hateful"
] | ---
language: it
license: mit
tags:
- text classification
- abusive language
- hate speech
- offensive language
widget:
- text: "Ci sono dei bellissimi capibara!"
example_title: "Hate Speech Classification 1"
- text: "Sei una testa di cazzo!!"
example_title: "Hate Speech Classification 2"
- text: "Ti odio!"
exam... | 3,108 |
liamliang/demographics_race_v2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
rahuldebdas79/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... | 1,521 |
ArnavL/roberta-realnews-agnews-0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
adamlin/trash_mail_cls_2022 | [
"normal",
"trash"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trash_mail_cls_2022
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. --... | 1,944 |
Sahara/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... | 1,521 |
ppsingh/bert-base-uncased-finetuned-osdg | [
"sdg_1",
"sdg_10",
"sdg_11",
"sdg_12",
"sdg_13",
"sdg_14",
"sdg_15",
"sdg_2",
"sdg_3",
"sdg_4",
"sdg_5",
"sdg_6",
"sdg_7",
"sdg_8",
"sdg_9"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-osdg
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... | 1,554 |
lysandre/test-dynamic-pipeline | null | Entry not found | 15 |
annahaz/xlm-roberta-base-misogyny-sexism-out-of-sample-test-opt-bal | [
"0",
"1"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-misogyny-sexism-out-of-sample-test-opt-bal
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should proba... | 3,549 |
annahaz/xlm-roberta-base-misogyny-sexism-out-of-sample-test-opt-EN | [
"0",
"1"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: xlm-roberta-base-misogyny-sexism-out-of-sample-test-opt-EN
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probab... | 2,527 |
srini98/distilbert-base-uncased-finetuned-clinic | [
"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... | Entry not found | 15 |
morenolq/thext-ai-scibert | [
"LABEL_0"
] | ---
language: "en"
tags:
- bert
- regression
- pytorch
pipeline:
- text-classification
widget:
- text: "We propose a new approach, based on Transformer-based encoding, to highlight extraction. To the best of our knowledge, this is the first attempt to use transformer architectures to address automatic highlight generat... | 5,097 |
jpalojarvi/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 |
Jinchen/roberta-base-finetuned-cola | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: roberta-base-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 it... | 1,851 |
jslowik/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 |
Sayan01/tiny-bert-qnli128-distilled | [
"entailment",
"not_entailment"
] | Entry not found | 15 |
tanfiona/unicausal-pair-baseline | null | ---
language: en
license: unknown
widget:
- text: "<ARG1>She fell</ARG1> because <ARG0>he pushed her</ARG0> ."
example_title: "Causal Example 1"
- text: "<ARG0>He pushed her</ARG0> , <ARG1>causing her to fall</ARG1>."
example_title: "Causal Example 2"
- text: "<ARG0>She fell</ARG0> because <ARG1>he pushed her</ARG... | 716 |
ranrinat/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 |
jinwooChoi/KDW_SA_mix_16_1e5 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
Kayvane/distilbert-base-uncased-wandb-week-3-complaints-classifier-1500 | [
"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
model-index:
- name: distilbert-base-uncased-wandb-week-3-complaints-classifier-1500
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should ... | 1,269 |
PGT/graphnystromformer-artificial-balanced-max500-105000-0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
claudiovaliense/teste_claudio4 | null | Entry not found | 15 |
doya/klue-sentiment-everybodyscorpus | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
pnr-svc/DistilBert-Sentiment-Analysis-Turkish | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
Eleven/bart-large-mnli-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: bart-large-mnli-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 remove this comment. -->
# bart-lar... | 1,027 |
jinwooChoi/KDW_SA_base_mix_48_1e5 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
rajistics/distilbert-imdb-mlflow | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
model-index:
- name: distilbert-imdb-mlflow
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. --... | 1,038 |
jinwooChoi/SKKU_SA_HJW_0722_2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/SKKU_SA_HJW_0722 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
doya/klue-sentiment-aihub | null | Entry not found | 15 |
sanskar/DepressionAnalysis | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: DepressionAnalysis
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. -->... | 1,660 |
PanNorek/roberta-base | null | Entry not found | 15 |
naem1023/roberta-phrase-clause-classification-dev | null | ---
license: apache-2.0
---
| 28 |
affandyfahrizain/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 |
phamvanlinh143/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: ... | 1,797 |
flax-community/roberta-swahili-news-classification | [
"afya",
"burudani",
"kimataifa",
"kitaifa",
"michezo",
"uchumi"
] | ---
language: sw
widget:
- text: "Idris ameandika kwenye ukurasa wake wa Instagram akimkumbusha Diamond kutekeleza ahadi yake kumpigia Zari magoti kumuomba msamaha kama alivyowahi kueleza awali.Idris ameandika;"
datasets:
- flax-community/swahili-safi
---
## Swahili News Classification with RoBERTa
This model was tr... | 1,128 |
hanseokhyeon/bert-11street | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
hanseokhyeon/bert-badword-puri-000 | null | Entry not found | 15 |
huaen/question_detection_user_utter | [
"non_question",
"question"
] | Entry not found | 15 |
huggingfans/electraL | [
"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 |
hyunwoongko/roberta-base-en-mnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
junzai/demotest | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert_finetuning_test
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:... | 1,521 |
kapilchauhan/bert-base-uncased-CoLA-finetuned-cola | null | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-CoLA-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- name: Mat... | 1,850 |
kapilchauhan/distilbert-base-uncased-CoLA-finetuned-cola | null | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-CoLA-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- nam... | 2,022 |
khanh98/model3 | null | Entry not found | 15 |
khizon/distilbert-unreliable-news-eng-4L | null | # Unreliable News Classifier (English)
Trained, validate, and tested using a subset of the NELA-GT-2018 dataset. The dataset is split such that there was no overlap in of news sources between the three sets.
This model used the pre-trained weights of `distilbert-base-cased` as starting point (only 4 layers) and was abl... | 549 |
liangxiaoxiao/bert_cn_finetuning | [
"LABEL_0",
"LABEL_1"
] | Entry not found | 15 |
marcolatella/tweet_eval_bench | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- accuracy
model-index:
- name: prova_Classi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: sentiment
metrics:
- nam... | 1,848 |
mattmcclean/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... | 1,799 |
medA/autonlp-FR_another_test-565016091 | [
"BODY_SHAMING",
"HATE",
"HOMOPHOBIA",
"INSULT",
"MISOGYNY",
"MORAL_HARASSMENT",
"NEUTRAL",
"RACISM",
"SEXUAL_HARASSMENT",
"SUPPORTIVE",
"THREAT",
"TROLL"
] | ---
tags: autonlp
language: fr
widget:
- text: "I love AutoNLP 🤗"
datasets:
- medA/autonlp-data-FR_another_test
co2_eq_emissions: 70.54639641012226
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 565016091
- CO2 Emissions (in grams): 70.54639641012226
## Validation Metrics
... | 1,379 |
milyiyo/distilbert-base-uncased-finetuned-amazon-review | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-base-uncased-finetuned-amazon-review
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_... | 2,873 |
mmirshekari/electra-base-squad-classification | [
"LABEL_0"
] | Entry not found | 15 |
moshew/tiny-bert-aug-sst2-distilled | [
"negative",
"positive"
] | Entry not found | 15 |
mrm8488/bsc-roberta-base-spanish-diagnostics | null | Entry not found | 15 |
mrm8488/distilbert-base-uncased-newspop-student | [
"economy",
"microsoft",
"obama",
"palestine"
] | Entry not found | 15 |
muhtasham/autonlp-Doctor_DE-24595544 | [
"target"
] | ---
tags: autonlp
language: de
widget:
- text: "I love AutoNLP 🤗"
datasets:
- muhtasham/autonlp-data-Doctor_DE
co2_eq_emissions: 92.87363201770962
---
# Model Trained Using AutoNLP
- Problem type: Single Column Regression
- Model ID: 24595544
- CO2 Emissions (in grams): 92.87363201770962
## Validation Metrics
- Lo... | 1,163 |
nepalprabin/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... | 1,429 |
oferweintraub/bert-base-finance-sentiment-noisy-search | [
"negative",
"neutral",
"positive"
] | ---
license: apache-2.0
tags:
- Finance-sentiment-analysis
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: bert-base-finance-sentiment-noisy-search
results: []
widget:
- text: "Third quarter reported revenues were $10.9 billion, up 5 percent compared to prior year and up 8... | 3,466 |
pierric/autonlp-my-own-imdb-sentiment-analysis-2131817 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- pierric/autonlp-data-my-own-imdb-sentiment-analysis
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 2131817
## Validation Metrics
- Loss: 0.24430708587169647
- Accuracy: 0.9452
- Precision: 0.930394431... | 1,123 |
pinecone/bert-medqp-cross-encoder | [
"LABEL_0"
] | # Med-QP 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). | 154 |
psychicautomaton/bert-base-uncased-finetuned-suicide | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
seanbenhur/kanglish-offensive-language-identification | [
"NOT-OFFENSIVE",
"OFFENSIVE"
] | Model Card Coming Soon | 22 |
seanbenhur/tanglish-offensive-language-identification | [
"NOT-OFFENSIVE",
"OFFENSIVE"
] | ---
language:
- ta
- en
tags:
- Text Classification
license: apache-2.0
datasets:
- dravidiancodemixed
metrics:
- f1
- accuracy
---
Model card Coming soon
| 157 |
sefaozalpadl/election_relevancy_best | [
"No",
"Yes"
] | ---
tags: coe
language: en
widget:
- text: "@PressSec Response to Putin is laughable. He has Biden's number. He knows Biden can't hold up in a live debate, and the Chinese did a number on the U.S. too. Biden is making US the laughing stock of the world. We pay the price for a stolen election"
datasets:
- sefaozalpadl/a... | 1,373 |
sgugger/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... | 2,010 |
socialmediaie/TRAC2020_ENG_A_bert-base-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 |
socialmediaie/TRAC2020_ENG_B_bert-base-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_IBEN_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 |
tasosk/bert-base-uncased-airlines | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-uncased-airlines
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... | 1,816 |
unicamp-dl/mMiniLM-L6-v2-pt-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-pt-msmarco-v2 is a multilingual miniLM-based model finetuned on a... | 1,406 |
yaoyinnan/roberta-fakeddit | [
"Fake",
"Real"
] | Entry not found | 15 |
nsi319/bigbird-roberta-base-finetuned-app | [
"Education",
"Entertainment",
"Productivity",
"Sports",
"News & Magazines",
"Photography"
] | ---
language: "en"
thumbnail: "https://huggingface.co/nsi319"
tags:
- big_bird
- pytorch
- text-classification
- mobile app descriptions
- playstore
license: "mit"
inference: true
---
# Mobile App Classification
## Model description
BigBird, is a sparse-attention based transformer which extends Transformer based mod... | 2,099 |
wypoon/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 |
mjc00/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 |
xyfigo/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 |
rurupang/roberta-base-finetuned-sts-f1_ | null | Entry not found | 15 |
jasonyim2/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 |
wuyue1987/twitter-roberta-base-sentiment-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
vlsb/autotrain-security-texts-classification-roberta-688020754 | [
"irrelevant",
"relevant"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- vlsb/autotrain-data-security-texts-classification-roberta
co2_eq_emissions: 3.1151249696839685
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 688020754
- CO2 Emissions (in grams): 3.1151249696839... | 1,274 |
vlsb/autotrain-security-text-classification-albert-688320769 | [
"irrelevant",
"relevant"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- vlsb/autotrain-data-security-text-classification-albert
co2_eq_emissions: 3.670416179055797
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 688320769
- CO2 Emissions (in grams): 3.670416179055797
... | 1,264 |
israel/fake-news-classification | null | ---
license: mit
---
# Fake and real news classification task
Model : [DistilRoBERTa base model](https://huggingface.co/distilroberta-base)
Dataset : [Fake and real news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)
| 277 |
thangcv/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 |
pitspits/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... | 1,799 |
schorndorfer/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 |
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