Adding Prompt Tuning to Missing Tables (#607)

Adding Prompt Tuning to all tables where it was missing and fixing
broken links in the README.

README.md

@@ -142,12 +142,13 @@ Currently, adapters integrates all architectures and methods listed below:
 | MAD-X,<br> Invertible adapters | [Pfeiffer et al. (2020)](https://aclanthology.org/2020.emnlp-main.617/) | [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/04_Cross_Lingual_Transfer.ipynb) |
 | AdapterDrop | [Rücklé et al. (2021)](https://arxiv.org/pdf/2010.11918.pdf) | [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/05_Adapter_Drop_Training.ipynb) |
 | MAD-X 2.0,<br> Embedding training | [Pfeiffer et al. (2021)](https://arxiv.org/pdf/2012.15562.pdf) | [Docs: Embeddings](https://docs.adapterhub.ml/embeddings.html), [Notebook](https://colab.research.google.com/github/Adapter-Hub/adapters/blob/main/notebooks/08_NER_Wikiann.ipynb) |
-| Prefix Tuning | [Li and Liang (2021)](https://arxiv.org/pdf/2101.00190.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#prefix-tuning) |
-| Parallel adapters,<br> Mix-and-Match adapters | [He et al. (2021)](https://arxiv.org/pdf/2110.04366.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#mix-and-match-adapters) |
-| Compacter | [Mahabadi et al. (2021)](https://arxiv.org/pdf/2106.04647.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#compacter) |
-| LoRA | [Hu et al. (2021)](https://arxiv.org/pdf/2106.09685.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#lora) |
-| (IA)^3 | [Liu et al. (2022)](https://arxiv.org/pdf/2205.05638.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#ia-3) |
-| UniPELT | [Mao et al. (2022)](https://arxiv.org/pdf/2110.07577.pdf) | [Docs](https://docs.adapterhub.ml/overview.html#unipelt) |
+| Prefix Tuning | [Li and Liang (2021)](https://arxiv.org/pdf/2101.00190.pdf) | [Docs](https://docs.adapterhub.ml/methods.html#prefix-tuning) |
+| Parallel adapters,<br> Mix-and-Match adapters | [He et al. (2021)](https://arxiv.org/pdf/2110.04366.pdf) | [Docs](https://docs.adapterhub.ml/method_combinations.html#mix-and-match-adapters) |
+| Compacter | [Mahabadi et al. (2021)](https://arxiv.org/pdf/2106.04647.pdf) | [Docs](https://docs.adapterhub.ml/methods.html#compacter) |
+| LoRA | [Hu et al. (2021)](https://arxiv.org/pdf/2106.09685.pdf) | [Docs](https://docs.adapterhub.ml/methods.html#lora) |
+| (IA)^3 | [Liu et al. (2022)](https://arxiv.org/pdf/2205.05638.pdf) | [Docs](https://docs.adapterhub.ml/methods.html#ia-3) |
+| UniPELT | [Mao et al. (2022)](https://arxiv.org/pdf/2110.07577.pdf) | [Docs](https://docs.adapterhub.ml/method_combinations.html#unipelt) |
+| Prompt Tuning | [Lester et al. (2021)](https://aclanthology.org/2021.emnlp-main.243/) | [Docs](https://docs.adapterhub.ml/methods.html#prompt-tuning) |
 
 ## Supported Models
 

docs/adapter_composition.md

@@ -40,15 +40,15 @@ The basic building blocks of the more advanced setups are objects derived from `
 each representing a different possibility to combine single adapters.
 The following table gives an overview on the supported composition blocks and their support by different adapter methods.
 
-| Block | Bottleneck<br> Adapters | Prefix<br> Tuning | Compacter | LoRA | (IA)³ |
-| --- | --- | --- | --- | --- | --- |
-| [`Stack`](#stack) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) |
-| [`Fuse`](#fuse) | ✅ | | ✅ | | |
-| [`Split`](#split) | ✅ | | ✅ | | |
-| [`BatchSplit`](#batchsplit) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) |
-| [`Parallel`](#parallel) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) |
-| [Output averaging](#output-averaging) | ✅ | | ✅ | ✅(*) | ✅(*) |
-| [Parameter averaging](#parameter-averaging) | ✅ | ✅ | ✅ | ✅ | ✅ |
+| Block | Bottleneck<br> Adapters | Prefix<br> Tuning | Compacter | LoRA | (IA)³ | Prompt Tuning |
+| --- | --- | --- | --- | --- | --- | --- |
+| [`Stack`](#stack) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) | |
+| [`Fuse`](#fuse) | ✅ | | ✅ | | | |
+| [`Split`](#split) | ✅ | | ✅ | | | |
+| [`BatchSplit`](#batchsplit) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) | |
+| [`Parallel`](#parallel) | ✅ | ✅ | ✅ | ✅(*) | ✅(*) | |
+| [Output averaging](#output-averaging) | ✅ | | ✅ | ✅(*) | ✅(*) | |
+| [Parameter averaging](#parameter-averaging) | ✅ | ✅ | ✅ | ✅ | ✅ | |
 
 (*) except for Deberta-v1, GPT-2.
 

docs/overview.md

@@ -60,6 +60,7 @@ Identifiers and configuration classes are explained in more detail in the [next
 | `ia3` | `IA3Config()` | [IA³](methods.html#ia-3) |
 | `mam` | `MAMConfig()` | [Mix-and-Match Adapters](method_combinations.html#mix-and-match-adapters) |
 | `unipelt` | `UniPELTConfig()` | [UniPELT](method_combinations.html#unipelt) |
+| `prompt_tuning` | `PromptTuningConfig()` | [Prompt Tuning](methods.html#prompt-tuning)
 
 ## Configuration