modelId stringlengths 6 107 | label list | readme stringlengths 0 56.2k | readme_len int64 0 56.2k |
|---|---|---|---|
woolee/fine_tuned_example_model | null | Entry not found | 15 |
yoshitomo-matsubara/bert-base-uncased-cola_from_bert-large-uncased-cola | null | ---
language: en
tags:
- bert
- cola
- glue
- kd
- torchdistill
license: apache-2.0
datasets:
- cola
metrics:
- matthew's correlation
---
`bert-base-uncased` fine-tuned on CoLA dataset, using fine-tuned `bert-large-uncased` as a teacher model, [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) a... | 841 |
yoshitomo-matsubara/bert-large-uncased-cola | null | ---
language: en
tags:
- bert
- cola
- glue
- torchdistill
license: apache-2.0
datasets:
- cola
metrics:
- matthew's correlation
---
`bert-large-uncased` fine-tuned on CoLA dataset, using [***torchdistill***](https://github.com/yoshitomo-matsubara/torchdistill) and [Google Colab](https://colab.research.google.com/gith... | 841 |
ysslang/autonlp-test-459011902 | [
"0",
"1",
"2",
"3",
"4",
"5",
"6",
"7",
"8",
"9"
] | ---
tags: autonlp
language: zh
widget:
- text: "I love AutoNLP 🤗"
datasets:
- ysslang/autonlp-data-test
co2_eq_emissions: 10.9230691350863
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 459011902
- CO2 Emissions (in grams): 10.9230691350863
## Validation Metrics
- Loss: 0.... | 1,344 |
z3c1f4/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 |
zeus0007/test | [
"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 |
zgotter/bert-base-finetuned-ynat | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6"
] | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- f1
model-index:
- name: bert-base-finetuned-ynat
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: ynat
metrics:
- name: F1
type: f1
value: 0.8... | 1,765 |
zgotter/bert_two_sent_classifier | null | Entry not found | 15 |
zhangle/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... | 1,998 |
zloelias/rubert-tiny2-kinopoisk-reviews-finetuned-clf | null | Entry not found | 15 |
zloelias/rubert-tiny2-lenta-ru-finetuned-clf | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
zwang199/autonlp-traffic_nlp_binary-537215209 | [
"0",
"1"
] | ---
tags: autonlp
language: en
widget:
- text: "I love AutoNLP 🤗"
datasets:
- zwang199/autonlp-data-traffic_nlp_binary
co2_eq_emissions: 1.171798205242445
---
# Model Trained Using AutoNLP
- Problem type: Binary Classification
- Model ID: 537215209
- CO2 Emissions (in grams): 1.171798205242445
## Validation Metrics... | 1,193 |
moshew/mpnet-base-sst2-distilled | [
"negative",
"positive"
] | {'test_accuracy': 0.9426605504587156,
'test_loss': 0.1693699210882187,
'test_runtime': 1.7713,
'test_samples_per_second': 492.29,
'test_steps_per_second': 3.952} | 165 |
simonmesserli/distilbert-base-uncased-finetuned-emotion | [
"anger",
"fear",
"joy",
"love",
"sadness",
"surprise"
] | Entry not found | 15 |
inovex/multi2convai-logistics-tr-bert | [
"details.address",
"tour.postcode.select",
"tour.finish",
"details.safeplace",
"details.preferedNeighbour",
"details.avoidNeighbour",
"tour.job.collected",
"no",
"yes",
"tour.start",
"tour.details",
"tour.job.signature",
"tour.job.delivered",
"select",
"tour.job.safePlace",
"safeplace"... | ---
tags:
- text-classification
widget:
- text: "paketi nereye koyabilirim?"
license: mit
language: tr
---
# Multi2ConvAI-Logistics: finetuned Bert for Turkish
This model was developed in the [Multi2ConvAI](https://multi2conv.ai) project:
- domain: Logistics (more details about our use cases: ([en](https... | 982 |
inovex/multi2convai-quality-en-bert | [
"neo.magnetklammern",
"neo.start",
"neo.back",
"neo.gearbox",
"neo.motor.brushcollar",
"neo.motor.worm",
"neo.magnet",
"neo.magnetisierung",
"neo.motor",
"neo.verschaubung",
"neo.zusammenfuehrung",
"neo.zahnradgross",
"neo.zahnradklein",
"neo.yes",
"neo.no",
"neo.einpressen",
"neo.mo... | ---
tags:
- text-classification
widget:
- text: "Start the program"
license: mit
language: en
---
# Multi2ConvAI-Quality: finetuned Bert for English
This model was developed in the [Multi2ConvAI](https://multi2conv.ai) project:
- domain: Quality (more details about our use cases: ([en](https://multi2conv... | 965 |
inovex/multi2convai-quality-en-mbert | [
"neo.magnetklammern",
"neo.start",
"neo.back",
"neo.gearbox",
"neo.motor.brushcollar",
"neo.motor.worm",
"neo.magnet",
"neo.magnetisierung",
"neo.motor",
"neo.verschaubung",
"neo.zusammenfuehrung",
"neo.zahnradgross",
"neo.zahnradklein",
"neo.yes",
"neo.no",
"neo.einpressen",
"neo.mo... | ---
tags:
- text-classification
widget:
- text: "Start the program"
license: mit
language: en
---
# Multi2ConvAI-Quality: finetuned MBert for English
This model was developed in the [Multi2ConvAI](https://multi2conv.ai) project:
- domain: Quality (more details about our use cases: ([en](https://multi2con... | 969 |
maretamasaeva/roberta-finetuned-freeform | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-finetuned-freeform
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. --... | 1,518 |
neal49/distilbert-sst2-freeze | null | Entry not found | 15 |
niksmer/ManiBERT | [
"Agriculture and Farmers",
"Anti-Growth Economy and Sustainability",
"Anti-Imperialism",
"Centralisation: Positive",
"Civic Mindedness: Positive",
"Constitutionalism: Negative",
"Constitutionalism: Positive",
"Controlled Economy",
"Corporatism/ Mixed Economy",
"Culture: Positive",
"Decentralisat... | ---
license: mit
metrics:
- accuracy
- precision
- recall
model-index:
- name: ManiBERT
results: []
widget:
- text: "Russia must end the war."
- text: "Democratic institutions must be supported."
- text: "The state must fight political corruption."
- text: "Our energy economy must be nationalised."
- text: "We must ... | 15,652 |
niksmer/RoBERTa-RILE | [
"Neutral",
"Left",
"Right"
] | ---
license: mit
metrics:
- accuracy
- precision
- recall
model-index:
- name: RoBERTa-RILE
results: []
widget:
- text: "Russia must end the war."
- text: "Democratic institutions must be supported."
- text: "The state must fight political corruption."
- text: "Our energy economy must be nationalised."
- text: "We m... | 7,217 |
timoneda/XLM-R-Racismo | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | 0 | |
jcai1/ss_mrpc | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: ss_mrpc
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. -->
# ss... | 1,496 |
shahp7575/electricidad-base-muchocine-finetuned | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
language:
- es
tags:
- spanish
- sentiment
datasets:
- muchocine
widget:
- "Increíble pelicula. ¡Altamente recomendado!"
- "Extremadamente malo. Baja calidad"
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete... | 1,673 |
mp6kv/main_intent_test | [
"connect",
"feedback",
"inform",
"none",
"pump"
] | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: main_intent_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. -->
# main_intent_test
This mo... | 1,748 |
mp6kv/pump_intent_test | [
"clarification",
"testing",
"value"
] | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: pump_intent_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. -->
# pump_intent_test
This mo... | 1,670 |
newhope/roberta-base-finetuned-cola | null | Entry not found | 15 |
kimbob/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
koenvdv/my-test-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 |
jcai1/ss_ver1 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ss_ver1
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. -->
# ss_ver1
This model is a fi... | 1,214 |
orzhan/ruroberta-ruatd-multi | null | Entry not found | 15 |
kyleinincubated/autonlp-cat333-624217911 | [
"互联网服务",
"交通运输",
"休闲服务",
"传媒",
"信息技术",
"公用事业",
"农业",
"化工制造",
"医药生物",
"商业贸易",
"建筑业",
"房地产",
"教育",
"文化",
"有色金属",
"林业",
"汽车制造",
"渔业",
"电子制造",
"电气设备",
"畜牧业",
"纺织服装制造",
"轻工制造",
"通信",
"采矿业",
"钢铁",
"银行",
"非银金融",
"食品饮料"
] | ---
tags: autonlp
language: zh
widget:
- text: "I love AutoNLP 🤗"
datasets:
- kyleinincubated/autonlp-data-cat333
co2_eq_emissions: 2.267288583123193
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 624217911
- CO2 Emissions (in grams): 2.267288583123193
## Validation Metrics... | 1,389 |
kyleinincubated/autonlp-cat33-624317932 | [
"互联网服务",
"交通运输",
"休闲服务",
"传媒",
"信息技术",
"公用事业",
"农业",
"化工制造",
"医药生物",
"商业贸易",
"国防军工",
"家用电器",
"建筑业",
"房地产",
"教育",
"文化",
"有色金属",
"机械装备制造",
"林业",
"汽车制造",
"渔业",
"电子制造",
"电气设备",
"畜牧业",
"纺织服装制造",
"轻工制造",
"通信",
"采矿业",
"钢铁",
"银行",
"非银金融",
"食品饮料"
] | ---
tags: autonlp
language: zh
widget:
- text: "I love AutoNLP 🤗"
datasets:
- kyleinincubated/autonlp-data-cat33
co2_eq_emissions: 1.2490471218570545
---
# Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 624317932
- CO2 Emissions (in grams): 1.2490471218570545
## Validation Metric... | 1,386 |
l3cube-pune/mahahate-bert | null | ---
language: mr
tags:
license: cc-by-4.0
datasets:
- L3Cube-MahaHate
widget:
- text: "I like you. </s></s> I love you."
---
## MahaHate-BERT
MahaHate-BERT (Marathi Hate speech identification) is a MahaBERT(l3cube-pune/marathi-bert) model fine-tuned on L3Cube-MahaHate - a Marathi tweet-based hate speech detection da... | 693 |
robertou2/roberta-base-bne-finetuned-amazon_reviews_multi | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: ... | 1,781 |
mrm8488/electricidad-small-finetuned-review-classification | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | Entry not found | 15 |
gossminn/detect-femicide-news-xlmr | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: detect-femicide-news-xlmr
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. -->... | 2,488 |
mmohamme/distilbert-base-uncased-finetuned-btc | [
"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_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7",
"LABEL_8",
"LABEL_9"
] | ### distilbert-base-uncased-finetuned-btc for PH66 Unwanted Event
- This is our initial attempt on using the transformers for BTC-PH66.
- This test file used in this model are in projects with Ids [1065, 950, 956, 2650]. The other 4 projects were not included as they resulted very low accuracy with ML models.
- The... | 489 |
mindlogic/mindlogic-electra-ko-ai-citizen-classifier-base | [
"all_ok",
"not_ok"
] | Entry not found | 15 |
moralstories/roberta-large_action-context-consequence | null | ---
license: afl-3.0
---
| 28 |
moralstories/roberta-large_action | null | Entry not found | 15 |
janck/DistilBERT-finetuned-wiki20m | [
"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 |
moralstories/roberta-large_action-context | null | ---
license: afl-3.0
---
| 28 |
jarguello76/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
golivaresm/roberta-base-bne-finetuned-amazon_reviews_multi | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: roberta-base-bne-finetuned-amazon_reviews_multi
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: ... | 1,754 |
navteca/ms-marco-MiniLM-L-6-v2 | [
"LABEL_0"
] | ---
language: en
license: mit
pipeline_tag: text-classification
tags:
- sentence-transformers
---
# Cross-Encoder for MS Marco
The model can be used for Information Retrieval: Given a query, encode the query will all possible passages (e.g. retrieved with ElasticSearch). Then sort the passages in a decreasing order. ... | 2,597 |
zdepablo/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
... | 1,883 |
zdepablo/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
... | 2,194 |
mmohamme/distilbert-base-uncased-finetuned-btc_2 | [
"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"
] | Entry not found | 15 |
nqcccccc/phobert-asba-qam | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3"
] | Entry not found | 15 |
richardc7/electricidad-small-finetuned-amazon-review-classification | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4"
] | ---
tags:
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- accuracy
model-index:
- name: electricidad-small-finetuned-amazon-review-classification
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: amazon_reviews_multi
type: amazon_rev... | 1,783 |
nebo333/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
selimsametoglu/selims | [
"1 star",
"2 stars",
"3 stars",
"4 stars",
"5 stars"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- tweet_eval
model-index:
- name: selims
results: []
widget:
- text: "I love conducting research on twins!"
example_title: "Sentiment analysis - English"
- text: "Ja, ik vind het tweelingen onderzoek leuk maar complex, weet je."
example_title: "Sentiment a... | 1,411 |
jcai1/similarity6 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: similarity6
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. -->
# similarity6
This model... | 1,230 |
rurupang/bert-base-finetuned-sts | [
"LABEL_0"
] | ---
tags:
- generated_from_trainer
datasets:
- klue
metrics:
- pearsonr
model-index:
- name: bert-base-finetuned-sts
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: klue
type: klue
args: sts
metrics:
- name: Pearsonr
type: pearsonr
... | 1,798 |
hawoihgawjlj/STS-Team3 | [
"LABEL_0"
] | Entry not found | 15 |
g4ry/classification_experiment | [
"Canais Internos",
"Dano material",
"Dano moral",
"Desvio produtivo",
"Financiamento veículo",
"Fraude",
"Inexistência de relação jurídica/débito",
"Inscrição indevida",
"Inversão do ônus da prova",
"Justiça gratuita",
"Multa diária",
"Produtos bancários",
"Restituição em dobro",
"Tutela a... | Entry not found | 15 |
hawoihgawjlj/Task3-STS-Team3 | [
"LABEL_0"
] | Entry not found | 15 |
rurupang/roberta-base-finetuned-sts-f1 | null | Entry not found | 15 |
yy642/bert-base-uncased-finetuned-rte-max-length-512-epoch-10 | null | Entry not found | 15 |
qc7/shad_ml2_transformer | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7"
] | ---
license: unlicense
---
| 30 |
world-wide/is-legit-kwd-march-27 | [
"False",
"True"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- bozelosp/autotrain-data-legit-keyword
co2_eq_emissions: 0.5745216001459987
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 668419758
- CO2 Emissions (in grams): 0.5745216001459987
## Validation Me... | 1,192 |
yy642/bert-base-uncased-finetuned-mnli-512-10 | null | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-mnli-512-10
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mnli
metrics:
- name: Accuracy
... | 1,941 |
leonadase/bert-base-chinese-finetuned-fdRE | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
tags:
- generated_from_trainer
datasets:
- sem_eval2010_task8
metrics:
- accuracy
model-index:
- name: bert-base-chinese-finetuned-fdRE
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: sem_eval2010_task8
type: sem_eval2010_task8
args: default
... | 1,882 |
rampasek/prot_bert_bfd_rosetta20aa | [
"LABEL_0"
] | ---
language: protein
tags:
- protein language model
datasets:
- BFD
- Custom Rosetta
---
# ProtBert-BFD finetuned on Rosetta 20AA dataset
This model is finetuned to predict Rosetta fold energy using a dataset of 100k 20AA sequences.
Current model in this repo: `prot_bert_bfd-finetuned-032722_1752`
## Performance
... | 1,086 |
jkooup/abstract_model | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5",
"LABEL_6",
"LABEL_7"
] | Entry not found | 15 |
nqcccccc/phobert-uit-absa-qab | null | Entry not found | 15 |
joniponi/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, t... | 1,575 |
rampasek/prot_bert_bfd_rosetta204060aa | [
"LABEL_0"
] | ---
language: protein
tags:
- protein language model
datasets:
- BFD
- Custom Rosetta
---
# ProtBert-BFD finetuned on Rosetta 20,40,60AA dataset
This model is finetuned to predict Rosetta fold energy using a dataset of 300k protein sequences:
100k of 20AA, 100k of 40AA, and 100k of 60AA
Current model in this repo: `... | 1,136 |
gabitoo1234/autotrain-mut_all_text-680820343 | [
"129.0",
"131.0",
"142.0",
"149.0",
"151.0",
"159.0",
"191.0",
"192.0",
"193.0",
"199.0",
"212.0",
"222.0",
"231.0",
"232.0",
"234.0",
"234.1",
"234.2",
"234.3",
"234.4",
"235.0",
"236.0",
"239.0",
"240.0",
"251.0",
"252.0",
"262.0",
"313.0",
"314.0",
"319.0",... | ---
tags: autotrain
language: es
widget:
- text: "I love AutoTrain 🤗"
datasets:
- gabitoo1234/autotrain-data-mut_all_text
co2_eq_emissions: 115.48848403681228
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 680820343
- CO2 Emissions (in grams): 115.48848403681228
## Valida... | 1,416 |
saaduddin/xlnet-nano-news | null | ---
license: mit
---
| 24 |
yinde/dummy-model | [
"NEGATIVE",
"POSITIVE"
] | Fake news classifier
This model trains a text classification model to detect fake news articles,
it uses distilbert-base-uncased-finetuned-sst-2-english pretrained model to work on
fake and real news dataset from kaggle (https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset) | 291 |
imanueldrexel/fake-news-classifier | null | fake-news-classifier | 20 |
unjustify/autotrain-commonsence-689620825 | [
"0",
"1"
] | ---
tags: autotrain
language: en
widget:
- text: "I love AutoTrain 🤗"
datasets:
- unjustify/autotrain-data-commonsence
co2_eq_emissions: 20.656741915705204
---
# Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 689620825
- CO2 Emissions (in grams): 20.656741915705204
## Validation Met... | 1,187 |
joniponi/multilabel_inpatient_comments_4labels | [
"communication",
"environmental",
"financial",
"medical"
] | Entry not found | 15 |
joniponi/discharge-classifier | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: discharge-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 comme... | 1,531 |
fmeng/passage_en_selection | null | Entry not found | 15 |
wuyue1987/distilbert-base-uncased-suggestion-finetuned | null | Entry not found | 15 |
vicl/distilbert-base-uncased-finetuned-mrpc | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-mrpc
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: mrpc
metrics:
... | 2,008 |
jjezabek/bert-base-uncased-imdb-all-pert | null | ---
license: mit
---
| 24 |
mdrame/fatima_fellowship_roberta_small | [
"LABEL_0"
] | Entry not found | 15 |
nepp1d0/ProtBert-finetuned-proteinBindingDB | [
"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: ProtBert-finetuned-proteinBindingDB
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... | 2,384 |
mgreenbe/607-live-demo-yelp-polarity | null | Demo model trained for 1 epoch on 4096 examples from the `yelp_polarity` dataset. | 81 |
peerapongch/baikal-sentiment | [
"LABEL_0",
"LABEL_1",
"LABEL_2"
] | Entry not found | 15 |
ramnika003/autotrain-sentiment_analysis_project-705021428 | [
"negative",
"neutral",
"positive"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- ramnika003/autotrain-data-sentiment_analysis_project
co2_eq_emissions: 10.03748863138583
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 705021428
- CO2 Emissions (in grams): 10.0374886313858... | 1,462 |
moshew/bert-tiny-sst2-distilled | null | Entry not found | 15 |
suey2580/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... | 2,014 |
nealmgkr/bert-base-uncased-tminer-hs | null | Entry not found | 15 |
raileymontalan/distilbert-base-cased-finetuned-fake-news-detection | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distilbert-base-cased-finetuned-fake-news-detection
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and comp... | 1,518 |
neal49/distilbert-sst2-runglue | null | Entry not found | 15 |
shubh024/autotrain-intentclassificationfilipino-715021714 | [
"CourtesyGoodBye",
"CourtesyGreeting",
"GoodBye",
"Greeting",
"GreetingResponse",
"Thanks",
"comparison",
"domain_based",
"general_questions",
"no_suggestion"
] | ---
tags: autotrain
language: unk
widget:
- text: "I love AutoTrain 🤗"
datasets:
- shubh024/autotrain-data-intentclassificationfilipino
co2_eq_emissions: 0.003341516495672918
---
# Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 715021714
- CO2 Emissions (in grams): 0.00334151649... | 1,368 |
philschmid/bert-large-cased-whole-word-masking-sst2 | [
"negative",
"positive"
] | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-large-cased-whole-word-masking-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
... | 1,631 |
mp6kv/ACTS_feedback1 | [
"negative",
"neutral",
"positive"
] | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ACTS_feedback1
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... | 2,568 |
philschmid/roberta-large-sst2 | [
"negative",
"positive"
] | ---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: roberta-large-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: GLUE SST2
type: glue
args: sst2
metrics:
- name: Accuracy
t... | 1,936 |
jesperjmb/parlaBERT | null | Fine-tuned KB-BERT for Swedish Riksdag introductions | 52 |
philschmid/MiniLMv2-L12-H384-sst2 | [
"negative",
"positive"
] | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: MiniLMv2-L12-H384-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
... | 2,010 |
philschmid/MiniLMv2-L6-H384-sst2 | [
"negative",
"positive"
] | ---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: MiniLMv2-L6-H384-sst2
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
args: sst2
metrics:
- name: Accuracy
type: accuracy
... | 2,068 |
malcolm/TSC_finetuning-sentiment-movie-model | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: TSC_finetuning-sentiment-movie-model
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... | 1,208 |
projecte-aina/mbert-base-gencata | [
"valid",
"not_valid"
] | ---
language: "ca"
license: mit
tags:
- text classification
task_categories:
- text-scoring
task_ids:
- semantic-similarity-scoring
datasets:
- projecte-aina/gencata
inference: false
---
## mBERT fine-tuned on the GEnCaTa dataset for Parallel Corpus Filtering
## Table of Contents
- [Model Description](#model-descript... | 5,426 |
hbruce11216/distilbert-base-uncased-finetuned-emotion | [
"LABEL_0",
"LABEL_1",
"LABEL_2",
"LABEL_3",
"LABEL_4",
"LABEL_5"
] | Entry not found | 15 |
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