modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
veronica320/MPTE_MPE_roberta_200 | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
liyijing024/covid-twitter-bert-v2-mnli-NLI-STS-CrossEncoder-Covid-HeRA | [
"contradiction",
"entailment",
"neutral"
] | Entry not found | 15 |
moshew/MiniLM-L3-clinc-distilled | [
"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 |
ziedhajyahia/autotrain-ok-848227025 | [
"Commercialisation des produits - Aide au choix d'un produit",
"Commercialisation des produits - Disponibilité des couleurs",
"Commercialisation des produits - Disponibilité des produits",
"Commercialisation des produits - Gamme arrêtée ou en fin de commercialisation",
"Commercialisation des produits -... | ---
tags: autotrain
language: fr
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ziedhajyahia/autotrain-data-ok
co2_eq_emissions: 5.096755166899446
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 848227025
- CO2 Emissions (in grams): 5.096755166899446
## Validation Metric... | 1,387 |
paultimothymooney/distilbert-rater | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-rater
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. -->
# distilbert-rater
... | 1,031 |
nihaldsouza1/covid-hatespeech-detection | null | Since the start of the COVID-19 pandemic, there has been a widespread increase in the amount of hate-speech being propagated online against the Asian community. This project builds upon and explores the work of He et al. Their COVID-HATE dataset contains 206 million tweets focused around anti-Asian hate speech. Using t... | 621 |
moshew/Mini-bert-distilled | [
"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 |
lucaordronneau/finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED | [
"fear",
"greed",
"neutral"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finbert-finetuned-FG-SINGLE_SENTENCE-NEWS-WEIGHTED
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 ... | 2,477 |
gonzpen/gbert-base-ft-edu-redux | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | ---
language: de
license: mit
---
# German BERT base fine-tuned to predict educational requirements
This is a fine-tuned version of the German BERT base language model [deepset/gbert-base](https://huggingface.co/deepset/gbert-base). The multilabel task this model was trained on was to predict education requirements f... | 2,294 |
lgodwangl/sent_conservative | [
"negative",
"neutral",
"positive"
] | Entry not found | 15 |
luckydog/bert-base-chinese-finetuned-mosei1 | null | Entry not found | 15 |
jkhan447/language-detection-Bert-base-uncased | [
"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: language-detection-Bert-base-uncased
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... | 1,179 |
manirai91/xlm-roberta-imdb | null | Entry not found | 15 |
nepp1d0/TAPE-finetuned-viralProteins | [
"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"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: TAPE-finetuned-viralProteins
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... | 2,304 |
oeg/roberta-finetuned-CPV_Spanish | [
"03",
"09",
"14",
"15",
"16",
"18",
"19",
"22",
"24",
"30",
"31",
"32",
"33",
"34",
"35",
"37",
"38",
"39",
"41",
"42",
"43",
"44",
"45",
"48",
"50",
"51",
"55",
"60",
"63",
"64",
"65",
"66",
"70",
"71",
"72",
"73",
"75",
"76",
"77",
"79"... | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: roberta-finetuned-CPV_Spanish
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... | 17,445 |
nthanhha26/autotrain-test-project-879428192 | [
"hate-speech",
"no-hate-speech"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- nthanhha26/autotrain-data-test-project
co2_eq_emissions: 13.170344687762716
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 879428192
- CO2 Emissions (in grams): 13.170344687762716
## Validation ... | 1,198 |
vijaygoriya/test_trainer | [
"neutral",
"positive",
"negative"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test_trainer
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. -->
# te... | 1,464 |
papsebestyen/hubert-base-cc-finance-filter | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: hubert-base-cc-finance-filter
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... | 1,733 |
mmillet/rubert-tiny2_finetuned_emotion_experiment | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: rubert-tiny2_finetuned_emotion_experiment
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... | 2,425 |
jjezabek/roberta-base-sst | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jjezabek/roberta-base-sst_bin | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jjezabek/bert-base-uncased-yelp_bin | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jjezabek/roberta-base-yelp_bin | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jjezabek/roberta-base-yelp_full | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jianxun/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
totoro4007/cryptoroberta-base | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
tornqvistmax/XLMR_finetuned_cluster4 | null | Entry not found | 15 |
umangchaudhry/bert-emotion | [
"anger",
"joy",
"optimism",
"sadness"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
... | 1,923 |
okovtun/bert-emotion | [
"anger",
"joy",
"optimism",
"sadness"
] | Entry not found | 15 |
tamarab/bert-emotion | [
"anger",
"joy",
"optimism",
"sadness"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
... | 1,924 |
miyagawaorj/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
... | 1,884 |
laurens88/finetuning-crypto-tweet-sentiment-test2 | [
"NEG",
"NEU",
"POS"
] | ---
tags:
- generated_from_trainer
model-index:
- name: finetuning-crypto-tweet-sentiment-test2
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. -->
# finetuning-cryp... | 1,096 |
himanshubeniwal/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,999 |
jinesh90/distilbert-base-uncased-finetuned-emotinons-jinesh | [
"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-emotinons-jinesh
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and compl... | 1,505 |
juancavallotti/bert-zs-sentence-classifier | [
"CONTRADICTION",
"ENTAILMENT",
"NEUTRAL"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-zs-sentence-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. ... | 5,474 |
himanshubeniwal/bert_sst_ft | null | Entry not found | 15 |
kimcando/test3 | null | Entry not found | 15 |
mehnaazasad/bert-emotion | [
"anger",
"joy",
"optimism",
"sadness"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tweet_eval
metrics:
- precision
- recall
model-index:
- name: bert-emotion
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: tweet_eval
type: tweet_eval
args: emotion
metrics:
... | 1,924 |
thundaa/tape-fluorescence-prediction-RITA_s | [
"LABEL_0"
] | ---
license: apache-2.0
tags:
- protein language model
- generated_from_trainer
datasets:
- train
metrics:
- spearmanr
model-index:
- name: tape-fluorescence-prediction-RITA_s
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: cradle-bio/tape-fluorescence
... | 2,331 |
shoubhik/electra_finetune | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_100",
"LABEL_1000",
"LABEL_10000",
"LABEL_10001",
"LABEL_10002",
"LABEL_10003",
"LABEL_10004",
"LABEL_10005",
"LABEL_10006",
"LABEL_10007",
"LABEL_10008",
"LABEL_10009",
"LABEL_1001",
"LABEL_10010",
"LABEL_10011",
"LABEL_10012",
"LABEL_1... | Entry not found | 15 |
xuio/roberta-sts | [
"LABEL_0"
] | Entry not found | 15 |
shoubhik/electra_freezed_9th_layer | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_100",
"LABEL_1000",
"LABEL_10000",
"LABEL_10001",
"LABEL_10002",
"LABEL_10003",
"LABEL_10004",
"LABEL_10005",
"LABEL_10006",
"LABEL_10007",
"LABEL_10008",
"LABEL_10009",
"LABEL_1001",
"LABEL_10010",
"LABEL_10011",
"LABEL_10012",
"LABEL_1... | Entry not found | 15 |
nqcccccc/phobert-multilabel-post-classification | [
"am_thuc",
"bong_da",
"cho_thue",
"doi_song",
"dong_vat",
"mua_ban",
"nhac",
"phim",
"phu_kien",
"sach",
"showbiz",
"the_thao",
"thoi_trang_nam",
"thoi_trang_nu",
"thuc_vat",
"tin_bds",
"tin_tuc",
"tri_thuc"
] | Entry not found | 15 |
onewithnickelcoins/roberta-base-stars | [
"1 star",
"2 stars",
"3 stars",
"4 stars"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-stars
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. -->
# rob... | 1,199 |
wuyue19871987/twitter-roberta-base-sentiment-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
zenkri/autotrain-Arabic_Poetry_by_Subject-920730227 | [
"ابتهال",
"اعتذار",
"الاناشيد",
"المعلقات",
"جود",
"حزينه",
"حكمة",
"دينية",
"ذم",
"رثاء",
"رحمة",
"رومنسيه",
"سياسية",
"شوق",
"صبر",
"عامه",
"عتاب",
"عدل",
"غزل",
"فراق",
"قصيره",
"مدح",
"نصيحة",
"هجاء",
"وطنيه"
] | ---
tags: autotrain
language: ar
widget:
- text: "I love AutoTrain 🤗"
datasets:
- zenkri/autotrain-data-Arabic_Poetry_by_Subject-1d8ba412
co2_eq_emissions: 0.06170374019107819
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 920730227
- CO2 Emissions (in grams): 0.0617037401... | 1,454 |
xuio/sts-12ep | [
"LABEL_0"
] | Entry not found | 15 |
veronica320/EPC_ADEPT_roberta-l_all | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
veronica320/SPTE_roberta-large-mnli_all | [
"CONTRADICTION",
"ENTAILMENT",
"NEUTRAL"
] | Entry not found | 15 |
xuio/roberta-sts12 | [
"LABEL_0"
] | Entry not found | 15 |
hsuk/tiny-bert-sst2-distilled | [
"negative",
"positive"
] | Entry not found | 15 |
jkhan447/sarcasm-detection-Bert-base-uncased-CR | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-Bert-base-uncased-CR
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... | 1,183 |
godwinh/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
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
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... | 1,613 |
zdreiosis/bert-finetuned-sem_eval-english | [
"Adventure",
"Angst",
"Drama",
"Family",
"Friendship",
"Humor",
"Hurt_Comfort",
"Romance"
] | ---
license: apache-2.0
tags:
- 3rd
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: bert-finetuned-sem_eval-english
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 ... | 1,211 |
g8a9/bert-base-italian-cased_ami20 | null | Entry not found | 15 |
joebobby/finetuning-sentiment-model-5000-samples3 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: finetuning-sentiment-model-5000-samples3
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. -... | 1,053 |
kimcando/reg_trained | null | Entry not found | 15 |
jkhan447/sarcasm-detection-xlnet-base-cased | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-xlnet-base-cased
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 com... | 1,166 |
kimcando/para_test_4800 | null | Entry not found | 15 |
symons/finetuning-sentiment-model-3000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- rotten_tomatoes_movie_review
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: rotten_tomatoes_movie_review... | 1,613 |
unhcr/hatespeech-detection | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
language: en
tags:
- text classification
- hate speech
- offensive language
- hatecheck
datasets:
- unhcr-hatespeech
metrics:
- f1
- hatecheck
---
Frederik Gaasdal Jensen • Henry Stoll • Sippo Rossi • Raghava Rao Mukkamala
# UNHCR Hate Speech
## Model Output
| 268 |
momo/KcBERT-base_Hate_speech_Privacy_Detection | null | ---
license: apache-2.0
---
| 28 |
helliun/distilbert-gaydar | null | Entry not found | 15 |
mpsb00/ECHR_test_2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- lex_glue
model-index:
- name: ECHR_test_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 this comment. -->
# ECHR_test... | 1,478 |
mmillet/rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and ... | 2,325 |
lewtun/distilroberta-base-finetuned-banking77 | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"LABEL_17",
"LABEL_18",
"LABEL_19",
"LABEL_2",
"LABEL_20",
"LABEL_21",
"LABEL_22",
"LABEL_23",
"LABEL_24",
"LABEL_25",
"LABEL_26",
"LABEL_27",
"LABEL_28",
"LABEL_29",... | Entry not found | 15 |
galbraun/distilbert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: distilbert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
met... | 1,999 |
garutyunov/meme-bert | [
"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",... | ---
language:
- en
license: mit
library_name: pytorch
tags:
- meme classification
metrics:
- accuracy
---
# MemeBERT
Bert model fine-tined with [Memes dataset](https://github.com/mrsndmn/memes-dataset) | 203 |
mmillet/rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear_no_emojis | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: rubert-tiny2_finetuned_emotion_experiment_augmented_anger_fear_no_emojis
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You... | 3,270 |
marieke93/MiniLM-evidence-types | [
"Anecdote",
"Assumption",
"Definition",
"None",
"Other",
"Statistics/Study",
"Testimony"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: MiniLM-evidence-types
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. -->
# ... | 3,742 |
mmillet/rubert-tiny2_best_finetuned_emotion_experiment_augmented_anger_fear | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: rubert-tiny2_best_finetuned_emotion_experiment_augmented_anger_fear
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
shou... | 3,169 |
louisdeco/camembert-base-finetuned-ICDCode_5 | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_100",
"LABEL_1000",
"LABEL_1001",
"LABEL_1002",
"LABEL_1003",
"LABEL_1004",
"LABEL_1005",
"LABEL_1006",
"LABEL_1007",
"LABEL_1008",
"LABEL_1009",
"LABEL_101",
"LABEL_1010",
"LABEL_1011",
"LABEL_1012",
"LABEL_1013",
"LABEL_1014",
"LABEL... | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
model-index:
- name: camembert-base-finetuned-ICDCode_5
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... | 2,373 |
zdreiosis/ff_analysis_3 | [
"Adventure",
"Angst",
"Drama",
"Family",
"Friendship",
"Humor",
"Hurt_Comfort",
"Romance"
] | ---
license: apache-2.0
tags:
- 6th
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ff_analysis_3
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... | 3,689 |
khantanveera/TK | null | Entry not found | 15 |
inhee/kcbert-large-finetuned-unsmile | [
"clean",
"기타 혐오",
"남성",
"성소수자",
"악플/욕설",
"여성/가족",
"연령",
"인종/국적",
"종교",
"지역"
] | ---
tags:
- generated_from_trainer
model-index:
- name: kcbert-large-finetuned-unsmile
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. -->
# kcbert-large-finetuned-u... | 1,608 |
qualitydatalab/autotrain-car-review-project-966432120 | [
"great",
"ok",
"poor"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- qualitydatalab/autotrain-data-car-review-project
co2_eq_emissions: 0.061185706621337065
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 966432120
- CO2 Emissions (in grams): 0.0611857066213370... | 1,452 |
helliun/primary-secondary | null | Entry not found | 15 |
th4tkh13m/amazon_shoe_reviews | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: amazon_shoe_reviews
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. -->
# amazon_shoe_rev... | 1,021 |
mmillet/distilrubert-2ndfinetune-epru | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilrubert-2ndfinetune-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 remove ... | 2,410 |
juliensimon/distilbert-amazon-shoe-reviews-quantized | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
louisdeco/camembert-base-finetuned-LineCause | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- recall
model-index:
- name: camembert-base-finetuned-LineCause
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... | 1,504 |
tahmpa/bert-based-german-cased-scene-classification3 | [
"one-scene",
"two-scenes"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-based-german-cased-scene-classification3
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... | 1,586 |
titi7242229/roberta-base-bne-finetuned_personality_multi_3 | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned_personality_multi_3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 2,579 |
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 |
tuni/distilbert-base-uncased-finetuned-cola | [
"NEGATIVE",
"POSITIVE"
] | ---
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... | 1,866 |
samba/samba-sentiments-fine-tuned | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ---
license: apache-2.0
---
| 28 |
sasuke/bert-base-uncased-finetuned-sst2-finetuned-sst2 | null | Entry not found | 15 |
tayyaba/autotrain-pan-977432399 | [
"0",
"1"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- tayyaba/autotrain-data-pan
co2_eq_emissions: 27.081173251466467
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 977432399
- CO2 Emissions (in grams): 27.081173251466467
## Validation Metrics
- Lo... | 1,148 |
zdreiosis/ff_analysis_4 | [
"Adventure",
"Angst",
"Drama",
"Family",
"Friendship",
"Humor",
"Hurt_Comfort",
"Romance"
] | ---
license: apache-2.0
tags:
- gen_ffa
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: ff_analysis_4
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 co... | 2,898 |
jkhan447/sarcasm-detection-RoBerta-base-POS | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-RoBerta-base-POS
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 com... | 1,157 |
tuni/distilbert-base-uncased-finetuned-mnli | [
"contradiction",
"entailment",
"neutral"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mnli
metrics:
- ... | 1,881 |
jkhan447/sarcasm-detection-Bert-base-uncased-POS | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sarcasm-detection-Bert-base-uncased-POS
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... | 1,184 |
totoro4007/cryptoroberta-base-all-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
tuni/xlm-roberta-large-xnli-finetuned-mnli | [
"contradiction",
"entailment",
"neutral"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: xlm-roberta-large-xnli-finetuned-mnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mnli
metrics:
- name: Ac... | 1,877 |
liux3790/autotrain-journals-covid-990032813 | null | 0 | |
waboucay/camembert-base-finetuned-repnum_wl-rua_wl_3_classes | [
"contradiction",
"entailment",
"neutral"
] | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 75.6 | 75.3 |
| test ... | 368 |
waboucay/camembert-base-finetuned-rua_wl_3_classes | [
"contradiction",
"entailment",
"neutral"
] | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 73.5 | 73.3 |
| test ... | 368 |
waboucay/camembert-large-finetuned-rua_wl | [
"contradiction",
"non-contradiction"
] | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 74.8 | 74.5 |
| test ... | 367 |
philmunz/poc_finetuned | null | Entry not found | 15 |
waboucay/camembert-large-finetuned-xnli_fr | [
"contradiction",
"non-contradiction"
] | ---
language:
- fr
tags:
- nli
metrics:
- f1
---
## Eval results
We obtain the following results on ```validation``` and ```test``` sets:
| Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
|------------|--------------------|--------------------|
| validation | 92.9 | 92.1 |
| test ... | 367 |
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