Upload DebertaV2ForMultipleChoice

README.md

@@ -1,12 +1,12 @@
 ---
 tags:
-- roberta
+- deberta-v2
 - adapter-transformers
 ---
 
-# Adapter `Shweta-singh/race_ethnicity_adapter_exp1` for roberta-base
+# Adapter `Shweta-singh/race_ethnicity_adapter_exp1` for microsoft/deberta-v3-base
 
-An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the None dataset.
+An [adapter](https://adapterhub.ml) for the `microsoft/deberta-v3-base` model that was trained on the None dataset.
 
 This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
 
@@ -23,7 +23,7 @@ Now, the adapter can be loaded and activated like this:
 ```python
 from adapters import AutoAdapterModel
 
-model = AutoAdapterModel.from_pretrained("roberta-base")
+model = AutoAdapterModel.from_pretrained("microsoft/deberta-v3-base")
 adapter_name = model.load_adapter("Shweta-singh/race_ethnicity_adapter_exp1", set_active=True)
 ```
 

adapter_config.json

@@ -33,9 +33,9 @@
     "use_gating": false
   },
   "hidden_size": 768,
-  "model_class": "RobertaForMultipleChoice",
-  "model_name": "roberta-base",
-  "model_type": "roberta",
+  "model_class": "DebertaV2ForMultipleChoice",
+  "model_name": "microsoft/deberta-v3-base",
+  "model_type": "deberta-v2",
   "name": "race_ethnicity_adapter",
   "version": "adapters.1.0.1"
 }

head_config.json

@@ -5,9 +5,9 @@
     "LABEL_0": 0,
     "LABEL_1": 1
   },
-  "model_class": "RobertaForMultipleChoice",
-  "model_name": "roberta-base",
-  "model_type": "roberta",
+  "model_class": "DebertaV2ForMultipleChoice",
+  "model_name": "microsoft/deberta-v3-base",
+  "model_type": "deberta-v2",
   "name": null,
   "num_labels": 2,
   "version": "adapters.1.0.1"

pytorch_adapter.bin

@@ -1,3 +1,3 @@
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+oid sha256:dcbe7bcc754a7efce45c25d01401e17477822314f3b87b29f49940a62444f998
+size 7193110

pytorch_model_head.bin

@@ -1,3 +1,3 @@
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+size 2367592