modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
jicoc22578/autotrain-livedoor_news-722922024 | [
"dokujo-tsushin",
"it-life-hack",
"kaden-channel",
"livedoor-homme",
"movie-enter",
"peachy",
"smax",
"sports-watch",
"topic-news"
] | ---
tags: autotrain
language: ja
widget:
- text: "Windows 11搭載PCを買ったら最低限やっておきたいこと"
- text: "3月デスクトップOSシェア、Windowsが増加しMacが減少"
- text: "raytrek、Core i7-12700HとRTX 3070 Tiを搭載するノートPC"
datasets:
- jicoc22578/autotrain-data-livedoor_news
co2_eq_emissions: 0.019299491458156143
---
# Model Trained Using AutoTrain
- Problem t... | 1,531 |
malcolm/TSC_SentimentA_IMDBAmznTSC_2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TSC_SentimentA_IMDBAmznTSC_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 remove th... | 1,192 |
luckydog/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... | 1,794 |
mekondjo/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 |
lewtun/roberta-large-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: mit
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: roberta-large-finetuned-clinc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: clinc_oos
type: clinc_oos
args: plus
metrics:
- n... | 2,035 |
profoz/distilbert-toxic-classifier | [
"Non-Toxic",
"Toxic"
] | ## DistilbERT Toxic Classifier | 30 |
theta/MBTI-ckiplab-bert | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
language:
- zh
tags:
- MBTI
- zh
- zh-tw
- generated_from_trainer
model-index:
- name: MBTI-ckiplab-bert
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. -->
# MB... | 958 |
user1/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 |
zainalq7/autotrain-NLU_crypto_sentiment_analysis-754123133 | [
"negative",
"neutral",
"positive"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- zainalq7/autotrain-data-NLU_crypto_sentiment_analysis
co2_eq_emissions: 0.005300030853867218
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 754123133
- CO2 Emissions (in grams): 0.0053000308... | 1,476 |
gbennett/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 |
luquesky/distilbert-base-uncased-finetuned-emotion-bigger-batch-better-who-knows | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion-bigger-batch-better-who-knows
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably pro... | 1,151 |
seongwcom/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 |
okho0653/distilbert-base-uncased-few-shot-sentiment-model | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-few-shot-sentiment-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | 1,227 |
Real29/my-model-ptc | [
"Neutral",
"Propaganda"
] | Entry not found | 15 |
ridvan9/autotrain-rdv-senti-analys-v2-791424369 | [
"0",
"1",
"2"
] | ---
tags: autotrain
language: tr
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ridvan9/autotrain-data-rdv-senti-analys-v2
co2_eq_emissions: 4.95702490470204
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 791424369
- CO2 Emissions (in grams): 4.95702490470204
## Validat... | 1,424 |
lilykaw/distilbert-base-uncased-finetuned-stsb | [
"LABEL_0"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: distilbert-base-uncased-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: stsb
metrics:
-... | 1,966 |
thusken/nb-bert-base-target-group | [
"no_target_group_interest",
"target_group_interest"
] | ---
license: cc-by-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nb-bert-base-target-group
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 commen... | 1,420 |
patrickquick/BERTicelli | null | ---
language:
- en
tags:
- BERTicelli
- text classification
- abusive language
- hate speech
- offensive language
datasets:
- OLID
license: apache-2.0
widget:
- text: "If Jamie Oliver fucks with my £3 meal deals at Tesco I'll kill the cunt."
example_title: "Example 1"
- text: "Keep up the good hard work."
example_t... | 1,032 |
veronica320/MPE_roberta | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jenspt/bert_regression_basic_16_batch_size | [
"LABEL_0"
] | Entry not found | 15 |
okho0653/distilbert-base-uncased-finetuned-sst-2-english-zero-shot-sentiment-model | [
"NEGATIVE",
"POSITIVE"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-sst-2-english-zero-shot-sentiment-model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complet... | 1,177 |
jxuhf/Fine-tuning-text-classification-model-Habana-Gaudi | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
metrics:
- name: Acc... | 1,531 |
guhuawuli/distilbert-poem_key_words | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-poem_key_words
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. -->
# distilber... | 1,249 |
nqcccccc/phobert-textclassification | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | Entry not found | 15 |
strickvl/nlp-redaction-classifier | [
"LABEL_0"
] | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: nlp-redaction-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. -->
# Redaction Classif... | 1,800 |
viviastaari/finetuning-sentiment-analysis-en-id | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: finetuning-sentiment-analysis-en-id
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and... | 1,746 |
luisu0124/Amazon_review | [
"NEGATIVE",
"POSITIVE"
] | ---
language:
- es
tags:
- Text Classification
---
## language:
- es
## tags:
- amazon_reviews_multi
- Text Clasiffication
### Dataset
### Example structure review:
| review_id (string) | product_id (string) | reviewer... | 1,171 |
jkhan447/language-detection-RoBerta-base-additional | [
"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: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: language-detection-RoBerta-base-additional
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 ... | 1,159 |
hhhhzy/roberta-pubhealth | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] |
# Roberta-Pubhealth model
This model is a fine-tuned version of [RoBERTa Base](https://huggingface.co/roberta-base) on the health_fact dataset.
It achieves the following results on the evaluation set:
- micro f1 (accuracy): 0.7137
- macro f1: 0.6056
- weighted f1: 0.7106
- samples predicted per second: 9.31
## Datas... | 948 |
mccaffary/finetuning-sentiment-model-3000-samples-DM | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples-DM
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: imdb
type: imdb
args: plain_text
... | 1,520 |
nitishkumargundapu793/autotrain-chat-bot-responses-949231426 | [
"goodbye",
"greeting",
"help",
"thanks"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- nitishkumargundapu793/autotrain-data-chat-bot-responses
co2_eq_emissions: 0.01123534537751425
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 949231426
- CO2 Emissions (in grams): 0.0112353453... | 1,330 |
mrcoombes/distilbert-wikipedia-pokemon | [
"Bug",
"Dark",
"Dragon",
"Electric",
"Fairy",
"Fighting",
"Fire",
"Flying",
"Ghost",
"Grass",
"Ground",
"Ice",
"Normal",
"Poison",
"Psychic",
"Rock",
"Steel",
"Water"
] | DistilBERT pokemon model (uncased)
This model is a distilled version of the BERT base model. It was introduced in this paper. The code for the distillation process can be found here. This model is uncased: it does not make a difference between english and English.
Model description
DistilBERT Wikipedia Pokemon model ... | 2,773 |
fcx-kilig/pretrain1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pretrain1
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. -->
# pretr... | 1,624 |
mmillet/distilrubert-tiny-cased-conversational-v1_best_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_best_finetuned_emotion_experiment_augmented_anger_fear
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had acc... | 2,532 |
qualitydatalab/autotrain-car-review-project-966432121 | [
"great",
"ok",
"poor"
] | ---
tags: autotrain
language: en
widget:
- text: "I love driving this car"
datasets:
- qualitydatalab/autotrain-data-car-review-project
co2_eq_emissions: 0.21529888368377176
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 966432121
- CO2 Emissions (in grams): 0.2152988836837... | 1,458 |
jkhan447/sarcasm-detection-Bert-base-uncased-newdata | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-Bert-base-uncased-newdata
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then... | 1,192 |
jhmin/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 |
thaidv96/lead-reliability-scoring | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: lead-reliability-scoring
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. -->... | 1,885 |
upsalite/bert-base-german-cased-finetuned-emotion-14-labels | [
"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"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-german-cased-finetuned-emotion-14-labels
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it,... | 2,081 |
kidzy/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 |
pnichite/QAClassification | null | Entry not found | 15 |
sasuke/bert-base-uncased-finetuned-claqua_cqa_predicate | null | Entry not found | 15 |
sanskar/JewelleryReviews | null | Entry not found | 15 |
ps29/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 |
Gunulhona/tbscmodel_v1 | [
"Negative",
"Positive"
] | Entry not found | 15 |
Sayan01/tiny-bert-stsb-distilled | [
"LABEL_0"
] | Entry not found | 15 |
abdulmatinomotoso/testing_news | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7"
] | Entry not found | 15 |
zluvolyote/s288cExpressionPrediction_k6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: s288cExpressionPrediction_k6
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 th... | 1,547 |
leokai/distilbert-base-uncased-finetuned-wikiandmark | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-wikiandmark
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... | 1,644 |
jinwooChoi/KDW_SA_base_32_5e4 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/hjw_base | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/KDW_SA_mix_64_1e4 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/KDW_SA_mix_48_1e5 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/KDW_SA_small_mix_16_1e5 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
PGT/nystromformer-artificial-balanced-max500-105000-0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
PGT/graphnystromformer-s-artificial-balanced-max500-105000-0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
PGT/nystromformer-s-artificial-balanced-max500-105000-0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | Entry not found | 15 |
Kayvane/distilroberta-base-wandb-week-3-complaints-classifier-1024 | [
"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: distilroberta-base-wandb-week-3-complaints-classifier-1024
results:
- task:
name: Text Classification
type: text-classification
dataset:
... | 2,391 |
jinwooChoi/SKKU_AP_SA_KES | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jinwooChoi/KDW_SA_base_mix_64_1e4 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
okho0653/Bio_ClinicalBERT-zero-shot-finetuned-50cad | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Bio_ClinicalBERT-zero-shot-finetuned-50cad
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... | 1,226 |
okho0653/Bio_ClinicalBERT-zero-shot-finetuned-50noncad | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Bio_ClinicalBERT-zero-shot-finetuned-50noncad
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... | 1,229 |
jinwooChoi/SKKU_SA_HJW_0722_0 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
ameerazam08/autotrain-imdb-1166543171 | [
"neg",
"pos"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ameerazam08/autotrain-data-imdb
co2_eq_emissions: 0.07308302140406821
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 1166543171
- CO2 Emissions (in grams): 0.07308302140406821
## Validation Metri... | 1,151 |
domenicrosati/deberta-v3-large-finetuned-DAGPap22-synthetic-all | null | Entry not found | 15 |
SIMAS-UN/blaming_vulnerability | null | Entry not found | 15 |
jamie613/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 |
flax-community/bert-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 BERT
This model was traine... | 1,145 |
gchhablani/bert-large-cased-finetuned-mrpc | [
"equivalent",
"not_equivalent"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: bert-large-cased-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MRPC
type: glue
args: mrpc
... | 2,150 |
gchhablani/bert-large-cased-finetuned-rte | [
"entailment",
"not_entailment"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-large-cased-finetuned-rte
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE RTE
type: glue
args: rte
metri... | 1,734 |
gchhablani/fnet-base-finetuned-mnli | [
"contradiction",
"entailment",
"neutral"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- accuracy
model-index:
- name: fnet-base-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE MNLI
type: glue
... | 2,632 |
gchhablani/fnet-base-finetuned-stsb | [
"LABEL_0"
] | ---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
- fnet-bert-base-comparison
datasets:
- glue
metrics:
- spearmanr
model-index:
- name: fnet-base-finetuned-stsb
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE STSB
type: glue
... | 2,814 |
hadxu/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 |
harish/EN-AStitchTask1A-XLNet-FalseFalse-0-FewShot-4-BEST | null | Entry not found | 15 |
harish/EN-AStitchTask1A-XLNet-FalseTrue-0-1-BEST | null | Entry not found | 15 |
harish/PT-UP-xlmR-ContextIncluded_IdiomExcluded-OneShot-4_BEST | null | Entry not found | 15 |
harithapliyal/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 |
howey/bert-base-uncased-boolq | null | Entry not found | 15 |
howey/bert-base-uncased-cloth | [
"LABEL_0"
] | Entry not found | 15 |
howey/bert-base-uncased-kaggle | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
howey/bert-base-uncased-mnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
jaesun/kogpt2-base-v2-finetuned-nsmc | null | Entry not found | 15 |
jkgrad/xlnet-base-cased-qqp | null | Entry not found | 15 |
joniponi/bert-finetuned-sem_eval-english | [
"admin",
"aides",
"bathroom",
"bill",
"cc",
"clean",
"communication",
"covid",
"depts",
"doctor",
"family",
"food",
"health",
"nice",
"nurse",
"rude",
"stay",
"visit"
] | ---
Epoch Training Loss Validation Loss F1 Roc Auc Accuracy
1 0.115400 0.099458 0.888763 0.920410 0.731760
2 0.070400 0.080343 0.911700 0.943234 0.781116 | 168 |
jorgemariocalvo/roberta-base-bne-finetuned-amazon_reviews_multi | null | Entry not found | 15 |
jpreilly123/emojify_mvp | [
"👌",
"💕",
"🔥",
"😂",
"😊",
"😍",
"😔",
"😘",
"😡",
"😩",
"😭",
"🙏"
] | Entry not found | 15 |
juliensimon/autonlp-song-lyrics-18753423 | [
"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: 55.552987716859484
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 18753423
- CO2 Emissions (in grams): 55.552987716859484
## Validation Metri... | 1,385 |
khizon/distilbert-unreliable-news-eng-6L | null | Entry not found | 15 |
kingla6/distilbert-magazine-classifier | [
"engineering",
"humanities",
"prelaw",
"premed",
"science"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: distilbert-magazine-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 re... | 1,622 |
kinit/slovakbert-sentiment-twitter | [
"-1",
"0",
"1"
] | ---
language:
- sk
tags:
- twitter
- sentiment-analysis
license: cc
metrics:
- f1
widget:
- text: "Najkrajšia vianočná reklama: Toto milé video vám vykúzli čarovnú atmosféru: Vianoce sa nezadržateľne blížia."
- text: "A opäť sa objavili nebezpečné výrobky. Pozrite sa, či ich nemáte doma"
---
# Sentiment Analysis mod... | 1,885 |
korca/textfooler-roberta-base-boolq | null | Entry not found | 15 |
kornosk/bert-election2020-twitter-stance-trump | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language: "en"
tags:
- twitter
- stance-detection
- election2020
- politics
license: "gpl-3.0"
---
# Pre-trained BERT on Twitter US Election 2020 for Stance Detection towards Donald Trump (f-BERT)
Pre-trained weights for **f-BERT** in [Knowledge Enhance Masked Language Model for Stance Detection](https://www.aclw... | 3,601 |
ldacunto/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
lewtun/xlm-roberta-base-finetuned-marc-en-hslu | [
"good",
"great",
"ok",
"poor",
"terrible"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
model-index:
- name: xlm-roberta-base-finetuned-marc-en-hslu
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... | 1,437 |
liamliang/demographics_race | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
linkpipi/distilbert-base-uncased-finetuned-sst2 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- ... | 1,874 |
liyijing024/covid-misinfo | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
lysandre/dummy | null | # My dummy model
Welcome to my model page!
Central definition, reproducibility tips, code samples below! | 106 |
marcelcastrobr/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:
... | 1,790 |
meghanabhange/Hinglish-DistilBert-Class | [
"NEGATIVE",
"NEUTRAL",
"POSITIVE"
] | Entry not found | 15 |
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