README.md

---
tags:
- t5
- adapter-transformers
datasets:
- liuyanchen1015/VALUE_mnli_negative_concord
---

# Adapter `liuyanchen1015/pfadapter-FLAN-T5-base-negative_concord_lr0.001` for liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4

An [adapter](https://adapterhub.ml) for the `liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4` model that was trained on the [liuyanchen1015/VALUE_mnli_negative_concord](https://huggingface.co/datasets/liuyanchen1015/VALUE_mnli_negative_concord/) dataset.

This adapter was created for usage with the **[adapter-transformers](https://github.com/Adapter-Hub/adapter-transformers)** library.

## Usage

First, install `adapter-transformers`:

```
pip install -U adapter-transformers
```
_Note: adapter-transformers is a fork of transformers that acts as a drop-in replacement with adapter support. [More](https://docs.adapterhub.ml/installation.html)_

Now, the adapter can be loaded and activated like this:

```python
from transformers import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4")
adapter_name = model.load_adapter("liuyanchen1015/pfadapter-FLAN-T5-base-negative_concord_lr0.001", source="hf", set_active=True)
```

## Architecture & Training

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## Evaluation results

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## Citation

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