modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
pelican/test_model | null | Entry not found | 15 |
peter2000/xlm-roberta-base-finetuned-ecoicop | [
"1111_Rice",
"1112_Flours and other cereals",
"1113_Bread",
"1114_Other bakery products",
"1115_Pizza and quiche",
"1116_Pasta products and couscous",
"1117_Breakfast cereals",
"1118_Other cereal products",
"1121_Beef and veal",
"1122_Pork",
"1123_Lamb and goat",
"1124_Poultry",
"1125_Other ... | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-ecoicop
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. -->
# xlm-rob... | 1,567 |
phailyoor/distilbert-base-uncased-finetuned-yahd-2 | [
"Beatani",
"CupcakeWarrior",
"Destoroyar",
"Eko",
"Lapan",
"MastigosWilkins",
"Megane",
"Ozymandias",
"Ringo Testarossa",
"Sir Swagmeyer",
"South African Salmon Bush War",
"Tachi",
"The_Pope",
"Zia",
"max56709",
"sleepymeido",
"unknown"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-yahd-2
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... | 1,639 |
phailyoor/distilbert-base-uncased-finetuned-yahd-twval | [
"Beatani",
"CupcakeWarrior",
"Destoroyar",
"Eko",
"Lapan",
"MastigosWilkins",
"Megane",
"Ozymandias",
"Ringo Testarossa",
"Sir Swagmeyer",
"South African Salmon Bush War",
"Tachi",
"The_Pope",
"Zia",
"max56709",
"sleepymeido",
"unknown"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-yahd-twval
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... | 1,647 |
phailyoor/distilbert-base-uncased-finetuned-yahd | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"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: distilbert-base-uncased-finetuned-yahd
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... | 2,347 |
philippelaban/headline_grouping | null | Entry not found | 15 |
pmthangk09/bert-base-uncased-sst | [
"LABEL_0"
] | Entry not found | 15 |
rafaelm47labs/spanishnews-classification | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | 0 | |
ragarwal/args-me-crossencoder-v1 | [
"LABEL_0"
] | Entry not found | 15 |
ran/c10 | null | Entry not found | 15 |
ran/c9 | null | Entry not found | 15 |
researchaccount/sa_sub3 | [
"Negative",
"Neutral",
"Positive"
] | ---
language: en
widget:
- text: "USER USER USER USER لاحول ولاقوه الا بالله 💔 💔 💔 💔 HASH TAG متي يصدر قرار العشرين ! ! ! ! ! !"
---
Sub 3 | 142 |
researchaccount/sa_sub5 | [
"Negative",
"Neutral",
"Positive"
] | Entry not found | 15 |
rexxar96/autonlp-roberta-large-finetuned-467612250 | [
"0",
"1"
] | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- rexxar96/autonlp-data-roberta-large-finetuned
co2_eq_emissions: 73.72876780772296
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 467612250
- CO2 Emissions (in grams): 73.72876780772296
## Validation M... | 1,215 |
reza/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 |
rfulton/my_model | null | Entry not found | 15 |
rizvandwiki/seq_classifier_model | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
s3h/arabert-classification | null | Entry not found | 15 |
s87204/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 |
sagittariusA/media_bias_classifier_cs | null | Entry not found | 15 |
sam890914/autonlp-roberta-large2-479012819 | [
"0",
"1"
] | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- sam890914/autonlp-data-roberta-large2
co2_eq_emissions: 71.60954851696604
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 479012819
- CO2 Emissions (in grams): 71.60954851696604
## Validation Metrics
... | 1,183 |
sana-ngu/Hat5-Roberta | null | Entry not found | 15 |
sancharidan/scibet_expertfinder | null | Entry not found | 15 |
satishjasthij/cola | [
"acceptable",
"unacceptable"
] | Entry not found | 15 |
sebaverde/bertitude-ita-tweets | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
serenay/autonlp-Emotion-14722565 | [
"anger",
"joy",
"optimism",
"sadness"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- serenay/autonlp-data-Emotion
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 14722565
## Validation Metrics
- Loss: 0.6077525615692139
- Accuracy: 0.7745398773006135
- Macro F1: 0.7287152925396537... | 1,274 |
sgich/bert_case_uncased_KenyaHateSpeech | null | # HateSpeechDetection
---
pipeline_tag: text-classification
---
The model is used for classifying a text as Hatespeech or Normal. The model is trained using data from Twitter, specifically Kenyan related tweets. To maximize on the limited dataset, text augmentation was done.
The dataset is available here: https://git... | 1,107 |
sgugger/bert-finetuned-mrpc | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
... | 2,063 |
sgugger/my-finetuned-bert-mprc | [
"equivalent",
"not_equivalent"
] | Entry not found | 15 |
shaer/xlm-roberta-base-finetuned-marc-en-test-run | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-en-test-run
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it... | 1,447 |
shivangi/CoLA_64_128_output | null | Entry not found | 15 |
shivangi/MRPC_64_128_output | null | Entry not found | 15 |
shivangi/MRPC_output | null | Entry not found | 15 |
shiyue/roberta-large-pyrxsum | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-examples-fold1 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-examples-fold2 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-examples-fold3 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-examples-fold4 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-systems-fold1 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-systems-fold2 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-systems-fold4 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-realsumm-by-systems-fold5 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
shiyue/roberta-large-tac08-tac09 | [
"entailment",
"neutral",
"contradiction"
] | Entry not found | 15 |
shiyue/roberta-large-tac09 | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
sijpapi/my-awesome-model | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
simjo/dummy-model | [
"not offensive",
"offensive"
] | Entry not found | 15 |
simjo/model1_test | [
"not offensive",
"offensive"
] | ---
license: cc-by-sa-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: model1_test
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. -->... | 1,540 |
sismetanin/mbart_ru_sum_gazeta-ru-sentiment-krnd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/mbart_ru_sum_gazeta-ru-sentiment-rusentiment | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
language:
- ru
tags:
- sentiment analysis
- Russian
---
## MBARTRuSumGazeta-ru-sentiment-RuSentiment
MBARTRuSumGazeta-ru-sentiment-RuSentiment is a [MBARTRuSumGazeta](https://huggingface.co/IlyaGusev/mbart_ru_sum_gazeta) model fine-tuned on [RuSentiment dataset](https://github.com/text-machine-lab/rusentiment) o... | 6,359 |
sismetanin/mbart_ru_sum_gazeta-ru-sentiment-sentirueval2016 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/rubert-ru-sentiment-liniscrowd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_base-ru-sentiment-krnd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_base-ru-sentiment-liniscrowd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_base-ru-sentiment-rutweetcorp | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_base-ru-sentiment-sentirueval2016 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_large-ru-sentiment-krnd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
sismetanin/xlm_roberta_large-ru-sentiment-liniscrowd | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
soniakris123/soniakris | null | Entry not found | 15 |
sunqq2008/sunqq-bert_finetunning | null | Entry not found | 15 |
sylviachency/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 |
taoroalin/12_aug_50k_labels | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
tbochens/test-train | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: test-train
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
- name: Accuracy
ty... | 1,801 |
tdeme/twitter_bias_model | null | Entry not found | 15 |
textattack/albert-base-v2-WNLI | null | ## 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 64, a learning
rate of 2e-05, and a maximum sequence length of 256.
Since this was a classi... | 619 |
textattack/distilbert-base-cased-STS-B | [
"LABEL_0"
] | Entry not found | 15 |
textattack/facebook-bart-large-MRPC | null | Entry not found | 15 |
textattack/facebook-bart-large-SST-2 | null | Entry not found | 15 |
tillfurger/twitter-sent | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
toasterboy/TESDFEEEE | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: TESDFEEEE
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. -->
# TESDFEEEE
This model is a fine-... | 1,205 |
toasthans/Facebook_Mit_HPS | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Facebook_Mit_HPS
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. -->
# Faceb... | 1,470 |
toasthans/Facebook_Mit_HPS_5_Epoch | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Facebook_Mit_HPS_5_Epoch
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. -->
... | 1,609 |
toasthans/Facebook_Ohne_HPS | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Facebook_Ohne_HPS
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. -->
# Face... | 1,518 |
toasthans/Twitter_Mit_HPSearch | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Twitter_Mit_HPSearch
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. -->
# T... | 1,541 |
toasthans/Twitter_Ohne_HPSearch | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Twitter_Ohne_HPSearch
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. -->
# ... | 1,526 |
tobiaslee/roberta-large-qa-suffix-defteval-t6-st1 | null | Entry not found | 15 |
ttajun/bert_nm50k_posneg01 | null | Entry not found | 15 |
ttajun/bert_nm70k_posneg01 | null | Entry not found | 15 |
ttajun/nsmc_klue_01 | null | Entry not found | 15 |
ueb1/IceBERT-finetuned-grouped | [
"Bára Huld Beck",
"Andri Yrkill Valsson",
"Atli Ísleifsson",
"Jóhanna Vigdís Hjaltadóttir",
"Aðalheiður Ámundadóttir",
"Ásrún Brynja Ingvarsdóttir",
"Stefán Árni Pálsson",
"Ástrós Ýr Eggertsdóttir",
"Haukur Holm",
"Berghildur Erla Bernharðsdóttir",
"Úlla Árdal",
"Kjartan Kjartansson",
"Samúe... | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IceBERT-finetuned-grouped
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.... | 1,588 |
ueb1/IceBERT-finetuned | [
"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_... | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IceBERT-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ... | 1,571 |
umit/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
valurank/distilroberta-mbfc-bias-4class | [
"extremeright",
"leastbiased",
"left",
"right"
] | ---
license: other
tags:
- generated_from_trainer
model-index:
- name: distilroberta-mbfc-bias-4class
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. -->
# distilrob... | 1,690 |
veronica320/ADEPT_roberta-l | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
vesteinn/IceBERT-finetuned-iec-sentence | null | ---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: IceBERT-finetuned-iec-sentence
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 rem... | 1,701 |
vesteinn/XLMR-ENIS-finetuned-stsb | [
"LABEL_0"
] | ---
license: agpl-3.0
pipeline_tag: sentence-similarity
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: XLMR-ENIS-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
... | 1,960 |
vidhur2k/mBERT-Arabic-Mono | null | Entry not found | 15 |
vidhur2k/mBERT-Danish-Mono | null | Entry not found | 15 |
vidhur2k/mBERT-English-Mono | null | Entry not found | 15 |
vidhur2k/mBERT-German-Mono | null | Entry not found | 15 |
vidhur2k/mBERT-GermanicLang | null | Entry not found | 15 |
vidhur2k/mBERT-Indonesian-Mono | null | Entry not found | 15 |
vidhur2k/mBERT-RomanceLang | null | Entry not found | 15 |
vinaydngowda/Robertabase_Ana4 | [
"Checking or savings account",
"Credit card or prepaid card",
"Credit reporting, credit repair services, or other personal consumer reports",
"Debt collection",
"Money transfer, virtual currency, or money service",
"Mortgage",
"Payday loan, title loan, or personal loan",
"Student loan",
"Vehicle loa... | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- vinaydngowda/autonlp-data-case-classify-xlnet
co2_eq_emissions: 19.964760910364927
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 496213536
- CO2 Emissions (in grams): 19.964760910364927
## Valida... | 1,430 |
vinaydngowda/xlnettest | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
viniaraujoo/bert_transparencia_brasil | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
voxmenthe/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
vuiseng9/bert-mnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | This model is developed with transformers v4.9.1.
```
m = 0.8444
eval_samples = 9815
mm = 0.8495
eval_samples = 9832
```
# Train
```bash
#!/usr/bin/env bash
export CUDA_VISIBLE_DEVICES=0
OUTDIR=bert-mnli
NEPOCH=3
WORKDIR=transformers/examples/pytorch/text-classification
cd $W... | 1,186 |
w11wo/sundanese-roberta-base-emotion-classifier | [
"anger",
"fear",
"joy",
"sadness"
] | ---
language: su
tags:
- sundanese-roberta-base-emotion-classifier
license: mit
widget:
- text: "Wah, éta gélo, keren pisan!"
---
## Sundanese RoBERTa Base Emotion Classifier
Sundanese RoBERTa Base Emotion Classifier is an emotion-text-classification model based on the [RoBERTa](https://arxiv.org/abs/1907.11692) ... | 4,388 |
walkacross/my-awesome-model | [
"NEGATIVE",
"POSITIVE"
] | Entry not found | 15 |
wilsoncwc/dontpatronizeme | null | Entry not found | 15 |
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