Upload model

README.md

@@ -0,0 +1,42 @@
+---
+tags:
+- adapter-transformers
+- roberta
+datasets:
+- mediabiasgroup/mbib-base
+---
+
+# Adapter `SOUMYADEEPSAR/text_level_bias1` for cardiffnlp/twitter-roberta-base-2022-154m
+
+An [adapter](https://adapterhub.ml) for the `cardiffnlp/twitter-roberta-base-2022-154m` model that was trained on the [mediabiasgroup/mbib-base](https://huggingface.co/datasets/mediabiasgroup/mbib-base/) dataset and includes a prediction head for classification.
+
+This adapter was created for usage with the **[Adapters](https://github.com/Adapter-Hub/adapters)** library.
+
+## Usage
+
+First, install `adapters`:
+
+```
+pip install -U adapters
+```
+
+Now, the adapter can be loaded and activated like this:
+
+```python
+from adapters import AutoAdapterModel
+
+model = AutoAdapterModel.from_pretrained("cardiffnlp/twitter-roberta-base-2022-154m")
+adapter_name = model.load_adapter("SOUMYADEEPSAR/text_level_bias1", set_active=True)
+```
+
+## Architecture & Training
+
+<!-- Add some description here -->
+
+## Evaluation results
+
+<!-- Add some description here -->
+
+## Citation
+
+<!-- Add some description here -->

adapter_config.json

@@ -0,0 +1,41 @@
+{
+  "config": {
+    "adapter_residual_before_ln": false,
+    "cross_adapter": false,
+    "dropout": 0.0,
+    "factorized_phm_W": true,
+    "factorized_phm_rule": false,
+    "hypercomplex_nonlinearity": "glorot-uniform",
+    "init_weights": "bert",
+    "inv_adapter": null,
+    "inv_adapter_reduction_factor": null,
+    "is_parallel": false,
+    "learn_phm": true,
+    "leave_out": [],
+    "ln_after": false,
+    "ln_before": false,
+    "mh_adapter": false,
+    "non_linearity": "relu",
+    "original_ln_after": true,
+    "original_ln_before": true,
+    "output_adapter": true,
+    "phm_bias": true,
+    "phm_c_init": "normal",
+    "phm_dim": 4,
+    "phm_init_range": 0.0001,
+    "phm_layer": false,
+    "phm_rank": 1,
+    "reduction_factor": 16,
+    "residual_before_ln": true,
+    "scaling": 1.0,
+    "shared_W_phm": false,
+    "shared_phm_rule": true,
+    "use_gating": false
+  },
+  "hidden_size": 768,
+  "model_class": "RobertaAdapterModel",
+  "model_name": "cardiffnlp/twitter-roberta-base-2022-154m",
+  "model_type": "roberta",
+  "name": "text_level_bias1",
+  "version": "adapters.1.0.0"
+}

head_config.json

@@ -0,0 +1,21 @@
+{
+  "config": {
+    "activation_function": "tanh",
+    "bias": true,
+    "dropout_prob": null,
+    "head_type": "classification",
+    "label2id": {
+      "0": 0,
+      "1": 1
+    },
+    "layers": 2,
+    "num_labels": 2,
+    "use_pooler": false
+  },
+  "hidden_size": 768,
+  "model_class": "RobertaAdapterModel",
+  "model_name": "cardiffnlp/twitter-roberta-base-2022-154m",
+  "model_type": "roberta",
+  "name": "text_level_bias1",
+  "version": "adapters.1.0.0"
+}

pytorch_adapter.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:504180727401beb76f5d4b6544f0a00552b4550c5f8bd724f9c817531bab0bf1
+size 3596134

pytorch_model_head.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d0bc062920438f0816fbd45081af0895abfb68c72b179f23268336a641f26d3
+size 2370728