Upload model

README.md

@@ -0,0 +1,44 @@
+---
+tags:
+- adapterhub:umls
+- bert
+- adapter-transformers
+datasets:
+- umls
+---
+
+# Adapter `reginaboateng/pfeiffer_umls_relational_extraction_adapter_SciBERT` for allenai/scibert_scivocab_uncased
+
+An [adapter](https://adapterhub.ml) for the `allenai/scibert_scivocab_uncased` model that was trained on the [umls](https://adapterhub.ml/explore/umls/) dataset and includes a prediction head for classification.
+
+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("allenai/scibert_scivocab_uncased")
+adapter_name = model.load_adapter("reginaboateng/pfeiffer_umls_relational_extraction_adapter_SciBERT", source="hf", 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 +1,40 @@
+{
+  "config": {
+    "adapter_residual_before_ln": false,
+    "cross_adapter": false,
+    "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": "BertModelWithHeads",
+  "model_name": "allenai/scibert_scivocab_uncased",
+  "model_type": "bert",
+  "name": "umls_relation_extraction",
+  "version": "3.2.1"
+}

head_config.json

@@ -0,0 +1,64 @@
+{
+  "config": {
+    "activation_function": "tanh",
+    "bias": true,
+    "head_type": "classification",
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1,
+      "LABEL_10": 10,
+      "LABEL_11": 11,
+      "LABEL_12": 12,
+      "LABEL_13": 13,
+      "LABEL_14": 14,
+      "LABEL_15": 15,
+      "LABEL_16": 16,
+      "LABEL_17": 17,
+      "LABEL_18": 18,
+      "LABEL_19": 19,
+      "LABEL_2": 2,
+      "LABEL_20": 20,
+      "LABEL_21": 21,
+      "LABEL_22": 22,
+      "LABEL_23": 23,
+      "LABEL_24": 24,
+      "LABEL_25": 25,
+      "LABEL_26": 26,
+      "LABEL_27": 27,
+      "LABEL_28": 28,
+      "LABEL_29": 29,
+      "LABEL_3": 3,
+      "LABEL_30": 30,
+      "LABEL_31": 31,
+      "LABEL_32": 32,
+      "LABEL_33": 33,
+      "LABEL_34": 34,
+      "LABEL_35": 35,
+      "LABEL_36": 36,
+      "LABEL_37": 37,
+      "LABEL_38": 38,
+      "LABEL_39": 39,
+      "LABEL_4": 4,
+      "LABEL_40": 40,
+      "LABEL_41": 41,
+      "LABEL_42": 42,
+      "LABEL_43": 43,
+      "LABEL_44": 44,
+      "LABEL_45": 45,
+      "LABEL_5": 5,
+      "LABEL_6": 6,
+      "LABEL_7": 7,
+      "LABEL_8": 8,
+      "LABEL_9": 9
+    },
+    "layers": 2,
+    "num_labels": 46,
+    "use_pooler": false
+  },
+  "hidden_size": 768,
+  "model_class": "BertModelWithHeads",
+  "model_name": "allenai/scibert_scivocab_uncased",
+  "model_type": "bert",
+  "name": "umls_relation_extraction",
+  "version": "3.2.1"
+}

pytorch_adapter.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f08b6dceceb168675300510fa3f4178beb3aeb8769d2c9cdbd5fed657d693cf3
+size 3595877

pytorch_model_head.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:563048d4aa2a0b522701565f0709e8d328677d24f00ca3909bfe066d10dd2738
+size 2505633