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Task Adapters

Pre-trained model:

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bert bart xlm-roberta distilbert gpt2 roberta mbart

IMDb

MDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training and 25,000 for testing. So, predict the number of positive and negative reviews using either classification or deep learning algorithms.
  Website 🤗  huggingface.co
sentiment/imdb@ukp distilbert-base-uncased
1 version Architecture: pfeiffer Head: 

Adapter for distilbert-base-uncased in Pfeiffer architecture trained on the IMDB dataset for 15 epochs with early stopping and a learning rate of 1e-4.

sentiment/imdb@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on the IMDb dataset.

sentiment/imdb@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on the IMDb dataset.

AdapterHub/roberta-base-pf-imdb roberta-base
huggingface.co Head: 

# Adapter `AdapterHub/roberta-base-pf-imdb` for roberta-base An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the...

AdapterHub/bert-base-uncased-pf-imdb bert-base-uncased
huggingface.co Head: 

# Adapter `AdapterHub/bert-base-uncased-pf-imdb` for bert-base-uncased An [adapter](https://adapterhub.ml) for the `bert-base-uncased` model that was trained on the...

Paper | Imprint & Privacy

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