Upload T5ForQuestionAnswering

README.md

@@ -1,54 +1,42 @@
 ---
-license: apache-2.0
-base_model: t5-base
 tags:
-- generated_from_trainer
+- t5
+- adapter-transformers
 datasets:
-- varun-v-rao/squad
-model-index:
-- name: t5-base-bn-adapter-1.79M-squad-model1
-  results: []
+- squad
 ---
 
-<!-- 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. -->
+# Adapter `varun-v-rao/t5-base-bn-adapter-1.79M-squad-model1` for t5-base
 
-# t5-base-bn-adapter-1.79M-squad-model1
+An [adapter](https://adapterhub.ml) for the `t5-base` model that was trained on the [squad](https://huggingface.co/datasets/squad/) dataset.
 
-This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad dataset.
+This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
 
-## Model description
+## Usage
 
-More information needed
+First, install `adapters`:
 
-## Intended uses & limitations
+```
+pip install -U adapters
+```
 
-More information needed
+Now, the adapter can be loaded and activated like this:
 
-## Training and evaluation data
+```python
+from adapters import AutoAdapterModel
 
-More information needed
+model = AutoAdapterModel.from_pretrained("t5-base")
+adapter_name = model.load_adapter("varun-v-rao/t5-base-bn-adapter-1.79M-squad-model1", source="hf", set_active=True)
+```
 
-## Training procedure
+## Architecture & Training
 
-### Training hyperparameters
+<!-- Add some description here -->
 
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 4
-- seed: 98
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3
+## Evaluation results
 
-### Training results
+<!-- Add some description here -->
 
+## Citation
 
-
-### Framework versions
-
-- Transformers 4.35.2
-- Pytorch 2.1.1+cu121
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+<!-- Add some description here -->

pytorch_adapter.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f931d48604113bd27047150746df8c044e0eb8d3f4f874f021f5236b18149974
+oid sha256:f84bd8362f4247c1498f53d97279075be91bd76e08b8cf4444ab820c54b7cac8
 size 7190294

pytorch_model_head.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9fe58adf70c611870fe6c04db450a5ec7a5c39fa4226eab57abb0f43d499a5c6
+oid sha256:53e18a8e9c698b154803c694700c9f55302494a6307dd4b41be93f38b200fbca
 size 7706