modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
mrm8488/electricidad-small-finetuned-paws-x-es | null | Entry not found | 15 |
jkhan447/sentiment-model-sample-ekman-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-model-sample-ekman-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... | 1,178 |
test1345/autonlp-savesome-631818261 | [
"Baby",
"Bereidingen of Charcuterie of Vis of Veggie",
"Brood of Ontbijt",
"Chips of Borrelhapjes",
"Colruyt-beenhouwerij",
"Conserven",
"Dieetvoeding of Voedingssupplementen",
"Diepvries",
"Dranken",
"Groenten en fruit",
"Huisdieren",
"Koeken of Chocolade of Snoep",
"Kruidenierswaren of Dro... | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- test1345/autonlp-data-savesome
co2_eq_emissions: 5.714250590300453
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 631818261
- CO2 Emissions (in grams): 5.714250590300453
## Validation Metrics
- ... | 1,369 |
leonadase/distilbert-base-uncased-finetuned-sem | [
"LABEL_0",
"LABEL_1",
"LABEL_10",
"LABEL_11",
"LABEL_12",
"LABEL_13",
"LABEL_14",
"LABEL_15",
"LABEL_16",
"LABEL_17",
"LABEL_18",
"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:
- sem_eval2010_task8
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-sem
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sem_eval2010_task8
type: sem_eval2010_t... | 1,925 |
lijingxin/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 |
lijingxin/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 |
gabitoo1234/autonlp-mut_uchile-640218740 | [
"120",
"130",
"140",
"150",
"190",
"210",
"220",
"230",
"240",
"260",
"310",
"320",
"330",
"340",
"350",
"360",
"370",
"380",
"390",
"410",
"420",
"430",
"490",
"510",
"520",
"530",
"610",
"690"
] | ---
tags: autonlp
language: unk
widget:
- text: "I love AutoNLP 🤗"
datasets:
- gabitoo1234/autonlp-data-mut_uchile
co2_eq_emissions: 43.078469852595994
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 640218740
- CO2 Emissions (in grams): 43.078469852595994
## Validation Metr... | 1,390 |
mansidw/finetuning-sentiment-model-12000-samples | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- ag_news
model-index:
- name:
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-sen... | 1,071 |
pritamdeka/BioBert-PubMed200kRCT | [
"BACKGROUND",
"CONCLUSIONS",
"METHODS",
"OBJECTIVE",
"RESULTS"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
widget:
- text: "SAMPLE 32,441 archived appendix samples fixed in formalin and embedded in paraffin and tested for the presence of abnormal prion protein (PrP)."
model-index:
- name: BioBert-PubMed200kRCT
results: []
---
<!-- This model card has been generated a... | 3,507 |
nqcccccc/phobert-asba-qab | null | 0 | |
negfir/distilbert-base-uncased-finetuned-qnli | null | Entry not found | 15 |
juns/imdb_finetuned_distilbert-base-uncased-finetuned-sst-2-english | [
"NEGATIVE",
"POSITIVE"
] | imdb_finetuned_distilbert-base-uncased-finetuned-sst-2-english for boostcamp ai tech 3
| 87 |
groversakshi1998/vul | null | Entry not found | 15 |
mansidw/fake-tipping-6000-samples | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: fake-tipping-6000-samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# fake-tipp... | 1,059 |
msamogh/autonlp-cai-out-of-scope-649919112 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- msamogh/autonlp-data-cai-out-of-scope
co2_eq_emissions: 0.49924480682533606
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 649919112
- CO2 Emissions (in grams): 0.49924480682533606
## Validation Metric... | 1,171 |
mmohamme/distilbert-base-uncased-finetuned-btc_2_ue | [
"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 |
rajeshradhakrishnan/malayalam_news_classifier | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
groversakshi1998/vul_cwe | [
"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_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LA... | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-5 | null | Entry not found | 15 |
rurupang/roberta-base-finetuned-sts-accuracy | null | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-rte-max-length-256-epoch-5 | null | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-5 | null | Entry not found | 15 |
rurupang/roberta-base-finetuned-sts-pearsonr_ | [
"LABEL_0"
] | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-10 | null | Entry not found | 15 |
j-hartmann/concreteness-english-distilroberta-base | [
"abstract",
"concrete"
] | "Concreteness evaluates the degree to which the concept denoted by a word refers to a perceptible entity." (Brysbaert, Warriner, and Kuperman 2014, p. 904) | 155 |
yy642/bert-base-uncased-finetuned-mnli-512-5 | null | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-max-length-256-epoch-10-v2 | null | Entry not found | 15 |
jkooup/title_model | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7"
] | Entry not found | 15 |
mengzhouxia/dummy | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
princeton-nlp/CoFi-QNLI-s60 | null | This is a model checkpoint for "[Structured Pruning Learns Compact and Accurate Models](https://arxiv.org/pdf/2204.00408.pdf)". The model is pruned from `bert-base-uncased` to a 60% sparsity on dataset QNLI. Please go to [our repository](https://github.com/princeton-nlp/CoFiPruning) for more details on how to use the m... | 435 |
negfir/distilbert-base-uncased-finetuned-stsb | [
"LABEL_0"
] | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-rte-wnli-5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-mnli-rte-wnli-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... | 1,676 |
yinde/fatimah_fake_news_bert | [
"NEGATIVE",
"POSITIVE"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fatimah_fake_news_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.... | 2,561 |
yaswanth/distilbert-base-uncased_fakenews_identification | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased_fakenews_identification
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 1,786 |
raquiba/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 |
joniponi/multilabel_inpatient_comments_30labels | [
"administration",
"bathroom",
"call_button",
"clean",
"communication",
"condition",
"departments",
"discharge",
"doctor",
"environmental",
"extra_nice",
"facilities",
"family",
"financial",
"food",
"isolation",
"iv_catheter",
"lost_items",
"maternity",
"medical",
"medication"... | Entry not found | 15 |
redwoodresearch/injuriousness-classifier-29apr-baseline | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-rte-wnli-3 | null | Entry not found | 15 |
redwoodresearch/injuriousness-classifier-29apr-tool-assisted | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-mnli-rte-wnli-10 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-mnli-rte-wnli-10
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... | 1,742 |
joniponi/multilabel_inpatient_comments_10labels | [
"bathroom",
"clean",
"communication",
"doctor",
"environmental",
"financial",
"food",
"medical",
"nurse"
] | Entry not found | 15 |
vicl/canine-c-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: canine-c-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- nam... | 1,953 |
youssefadarrab/TP_NLP_SNLI_Adarrab_Baziz_Malige | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | # CentraleSupelec - Natural language processing
# Practical session n°7
## Natural Language Inferencing (NLI):
(NLI) is a classical NLP (Natural Language Processing) problem that involves taking two sentences (the premise and the hypothesis ), and deciding how they are related (if the premise *entails* the hypo... | 1,491 |
mainuliitkgp/ROBERTa_fake_news_classification | null | Entry not found | 15 |
vicl/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 |
vicl/canine-s-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: canine-s-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
- nam... | 1,955 |
reichenbach/fake-news-detector | null | Entry not found | 15 |
pinku/FatimaFellowship_fake_and_real_news | [
"LABEL_0"
] | ---
license: bsd-3-clause
---
# Fatima Fellowship NLP Project
## Fake News Classifier
- BERT base model finetuned to classify fake news. | 145 |
reichenbach/fake-news-detector-v3 | [
"LABEL_0"
] | Entry not found | 15 |
mgreenbe/607-demo-model | null | ---
language:
- en
tags:
- text-classification
- tag2
license: apache-2.0
datasets:
- yelp_polarity
metrics:
- accuracy
---
Demo model for predicting the polarity of Yelp reviews.
Trained for 1 epoch on 4096 reviews. | 221 |
linhthi/fake-news-detector-bert-v1.0 | null | Entry not found | 15 |
moshew/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 |
philschmid/MiniLMv2-L6-H768-sst2 | [
"negative",
"positive"
] | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: MiniLMv2-L6-H768-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
... | 2,068 |
nepp1d0/SingleBertSmilesTargetInteraction | null | Prot_bert finetuned on GPCR_train dataset of Drug Target prediction
Trainig paramenters:
overwrite_output_dir=True,
evaluation_strategy="epoch",
learning_rate=1e-3,
weight_decay=0.001,
per_device_train_batch_size=batch_size,
per_device_eval_batch_size=batch_size,
push_to_hub=True,
fp16=True,
logging... | 387 |
philschmid/minilm-l12-h384-sst2-distilled | [
"negative",
"positive"
] | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: minilm-l12-h384-sst2-distilled
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: a... | 1,953 |
rajiv003/ernie-finetuned-qqp | null | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: ernie-finetuned-qqp
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: qqp
metrics:
- name: Accuracy
type: accuracy... | 1,961 |
jegormeister/Multilingual-MiniLM-L12-H384-mmarco-finetuned | [
"LABEL_0"
] | Entry not found | 15 |
potatobunny/results-yelp | null | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: results-yelp
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. -->... | 2,023 |
htufgg/roberta-finetuned-CPV_Spanish | [
"03",
"09",
"14",
"15",
"16",
"18",
"19",
"22",
"24",
"30",
"31",
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"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... | 2,967 |
ndavid/autotrain-trec-fine-bert-739422530 | [
"abb",
"animal",
"body",
"city",
"code",
"color",
"count",
"country",
"cremat",
"currency",
"date",
"def",
"desc",
"dismed",
"dist",
"event",
"exp",
"food",
"gr",
"ind",
"instru",
"lang",
"letter",
"manner",
"money",
"mount",
"ord",
"other",
"perc",
"period"... | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ndavid/autotrain-data-trec-fine-bert
co2_eq_emissions: 0.02238820299105448
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 739422530
- CO2 Emissions (in grams): 0.02238820299105448
## Validat... | 1,407 |
jason9693/koelectra-small-v3-generator-apeach | [
"Default",
"Spoiled"
] | ---
tags: autotrain
language: ko
widget:
- text: "개념 집에다 ctrl+z헤놓고 왔나"
datasets:
- jason9693/APEACH
co2_eq_emissions: 0.01856239042036965
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 742522663
- CO2 Emissions (in grams): 0.01856239042036965
## Validation Metrics
- Loss: 0.47... | 1,178 |
hxz116/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
jason9693/soongsil-bert-base-apeach | [
"Default",
"Spoiled"
] | ---
language: ko
widget:
- text: "응 어쩔티비~~"
datasets:
- jason9693/APEACH
--- | 76 |
yliu337/bert_poet_classifier | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
nbhimte/tiny-bert-best | [
"contradiction",
"entailment",
"neutral"
] | TrainOutput(global_step=2456, training_loss=0.29150783277878156, metrics={'train_runtime': 939.2154, 'train_samples_per_second': 167.246, 'train_steps_per_second': 2.615, 'total_flos': 321916620637920.0, 'train_loss': 0.29150783277878156, 'epoch': 4.0}) | 253 |
jenspt/bert_classification | null | Entry not found | 15 |
mwong/roberta-base-fever-evidence-related | null | ---
language: en
license: mit
tags:
- text classification
- fact checking
datasets:
- mwong/fever-evidence-related
widget:
- text: "Earth’s changing climate is a critical issue and poses the risk of significant environmental, social and economic disruptions around the globe.</s></s>Because of fears of climate change an... | 1,063 |
mwong/albert-base-climate-claim-related | null | ---
language: en
license: mit
tags:
- text classification
- fact checking
datasets:
- mwong/fever-claim-related
- mwong/climate-claim-related
widget:
- text: "Earth’s changing climate is a critical issue and poses the risk of significant environmental, social and economic disruptions around the globe.</s></s>Because of... | 1,166 |
mwong/climatebert-base-f-climate-evidence-related | null | ---
language: en
license: mit
tags:
- text classification
- fact checking
datasets:
- mwong/fever-evidence-related
- mwong/climate-evidence-related
widget:
- text: "Earth’s changing climate is a critical issue and poses the risk of significant environmental, social and economic disruptions around the globe.</s></s>Beca... | 1,186 |
ktangri/autotrain-financial-sentiment-765323474 | [
"negative",
"neutral",
"positive"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ktangri/autotrain-data-financial-sentiment
co2_eq_emissions: 0.007501354635994803
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 765323474
- CO2 Emissions (in grams): 0.007501354635994803
##... | 1,430 |
supriyaraj47/deberta-base-nli | null | Entry not found | 15 |
satish860/sms_detection_algorithm | null | Entry not found | 15 |
satish860/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... | 1,220 |
lucaordronneau/finbert-finetuned-FG-SINGLE_SENTENCE-NEWS | [
"fear",
"greed",
"neutral"
] | ---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finbert-finetuned-FG-SINGLE_SENTENCE-NEWS
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comm... | 2,743 |
mofyrt/bert-base-uncased-finetuned-cola | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: cola
metrics:
... | 1,975 |
tingzhou/cn_finetuning | null | Entry not found | 15 |
fxxcyz/distilbert-base-uncased-finetuned-cola | null | Entry not found | 15 |
sai82/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
Real29/my-model-nela | [
"Reliable",
"Mixed",
"Unreliable"
] | Entry not found | 15 |
maximedb/glue_sst_classifier | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- f1
- accuracy
model-index:
- name: glue_sst_classifier
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: F1
... | 1,993 |
Real29/my-model-proppy | [
"Neutral",
"Propaganda"
] | Entry not found | 15 |
Real29/my-model-jacobs | [
"Neutral",
"Violent"
] | Entry not found | 15 |
manueltonneau/bert-twitter-pt-is-unemployed | null | ---
language: pt # <-- my language
widget:
- text: "Tô desempregada!"
---
# Detection of employment status disclosures on Twitter
## Model main characteristics:
- class: Is Unemployed (1), else (0)
- country: BR
- language: Portuguese
- architecture: BERT base
## Model description
This model is a version ... | 1,097 |
juancavallotti/roberta-base-culinary-finetuned | [
"related",
"unrelated"
] | ---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: roberta-base-culinary-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. -->
# roberta-b... | 3,449 |
zhiguoxu/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
masapasa/deberta_amazon_reviews_v2 | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
jacklindsai/is_it_elon_musk | null | Entry not found | 15 |
ouyh18/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 |
waboucay/camembert-base-finetuned-nli-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 | 73.8 | 73.7 |
| test ... | 367 |
waboucay/camembert-base-finetuned-xnli_fr-finetuned-nli-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 | 69.9 | 69.9 |
| test ... | 367 |
veronica320/ADEPT_bert | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
veronica320/ADEPT_roberta | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
pietrolesci/bert-base-uncased-mnli | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
mrm8488/data2vec-text-base-finetuned-mrpc | null | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: data2vec-text-base-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
- name: A... | 1,803 |
r4ndomw4lk/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
ml4pubmed/biobert-v1.1_pub_section | [
"BACKGROUND",
"CONCLUSIONS",
"METHODS",
"OBJECTIVE",
"RESULTS"
] | ---
language:
- en
datasets:
- pubmed
metrics:
- f1
pipeline_tag: text-classification
widget:
- text: "Many pathogenic processes and diseases are the result of an erroneous activation of the complement cascade and a number of inhibitors of complement have thus been examined for anti-inflammatory actions."
example_tit... | 2,337 |
waboucay/camembert-base-finetuned-nli-repnum_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 | 74.6 | 74.5 |
| test ... | 368 |
waboucay/camembert-base-finetuned-xnli_fr-finetuned-nli-repnum_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 | 73.3 | 73.3 |
| test ... | 368 |
jenspt/roberta | [
"LABEL_0"
] | Entry not found | 15 |
nguyenmanhbao/finetuning-sentiment-model-3000-samples | null | Entry not found | 15 |
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