nli/multinli@ukp gpt2
1 version Architecture: houlsby non-linearity: swish reduction factor: 16 Head: 

Adapter for gpt2 in Houlsby architecture trained on the MNLI dataset for 10 epochs with a learning rate of 1e-4.

nli/multinli@ukp roberta-base
1 version Architecture: pfeiffer Head: 

Pfeiffer Adapter trained on Multi-NLI.

nli/multinli@ukp roberta-large
1 version Architecture: pfeiffer Head: 

Adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 10 epochs).

nli/multinli@ukp bert-base-uncased
1 version Architecture: pfeiffer Head: 

Adapter in Pfeiffer architecture trained on the MultiMLI task for 20 epochs with early stopping and a learning rate of 1e-4. See https://arxiv.org/pdf/2007.07779.pdf.

nli/multinli@ukp distilbert-base-uncased
1 version Architecture: houlsby Head: 

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

nli/multinli@ukp facebook/bart-base
1 version Architecture: houlsby non-linearity: swish reduction factor: 16 Head: 

Adapter for bart-base in Houlsby architecture trained on the MultiNLI dataset for 15 epochs with early stopping and a learning rate of 1e-4.

nli/multinli@ukp facebook/bart-base
1 version Architecture: pfeiffer non-linearity: relu reduction factor: 16 Head: 

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

nli/multinli@ukp gpt2
1 version Architecture: pfeiffer non-linearity: relu reduction factor: 16 Head: 

Adapter for gpt2 in Pfeiffer architecture trained on the MNLI dataset for 10 epochs with a learning rate of 1e-4.

nli/multinli@ukp distilbert-base-uncased
1 version Architecture: pfeiffer Head: 

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

nli/multinli@ukp bert-base-uncased
1 version Architecture: houlsby Head: 

Adapter in Houlsby architecture trained on the MultiNLI task for 20 epochs with early stopping and a learning rate of 1e-4. See https://arxiv.org/pdf/2007.07779.pdf.

nli/multinli@kabirahuja2431 bert-base-multilingual-cased
2 versions Architecture: pfeiffer non-linearity: relu reduction factor: 2 Head: 

Pfeiffer adapter stacked on top of language adapter for the NLI task. Trained on the English MultiNLI data for 5 epochs and a batch size of 64. Version 2 performs better for cross lingual transfer

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

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

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

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

domadapter/joint_dt_fiction_slate bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_travel_telephone bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_fiction_government bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_fiction_telephone bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_fiction_travel bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_slate_fiction bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_slate_government bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_slate_telephone bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_slate_travel bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_government_fiction bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_government_slate bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_government_telephone bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_government_travel bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_telephone_fiction bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_telephone_slate bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_telephone_government bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_telephone_travel bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_travel_fiction bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_travel_slate bert-base-uncased
huggingface.co Head: 

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

domadapter/joint_dt_travel_government bert-base-uncased
huggingface.co Head: 

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

yoh/distilroberta-base-sept-adapter distilroberta-base
huggingface.co Head: 

# Adapter `yoh/distilroberta-base-sept-adapter` for distilroberta-base An [adapter](https://adapterhub.ml) for the `distilroberta-base` model that was trained on the...