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adapter_config.json

@@ -1,74 +1,40 @@
 {
   "config": {
-    "architecture": "union",
-    "configs": [
-      {
-        "architecture": "prefix_tuning",
-        "bottleneck_size": 512,
-        "cross_prefix": true,
-        "dropout": 0.0,
-        "encoder_prefix": true,
-        "flat": false,
-        "leave_out": [],
-        "non_linearity": "tanh",
-        "prefix_length": 10,
-        "shared_gating": true,
-        "use_gating": true
-      },
-      {
-        "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": true
-      },
-      {
-        "alpha": 8,
-        "architecture": "lora",
-        "attn_matrices": [
-          "q",
-          "v"
-        ],
-        "composition_mode": "add",
-        "dropout": 0.0,
-        "init_weights": "lora",
-        "intermediate_lora": false,
-        "output_lora": false,
-        "r": 8,
-        "selfattn_lora": true,
-        "use_gating": true
-      }
-    ]
+    "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": "bert-base-uncased",
   "model_type": "bert",
-  "name": "difraud-twitter_rumours",
+  "name": "difraud-twitter-rumours",
   "version": "3.2.1"
 }

head_config.json

@@ -4,8 +4,8 @@
     "bias": true,
     "head_type": "classification",
     "label2id": {
-      "LABEL_0": 0,
-      "LABEL_1": 1
+      "deceptive": 1,
+      "non-deceptive": 0
     },
     "layers": 2,
     "num_labels": 2,
@@ -15,6 +15,6 @@
   "model_class": "BertModelWithHeads",
   "model_name": "bert-base-uncased",
   "model_type": "bert",
-  "name": "difraud-twitter_rumours",
+  "name": "difraud-twitter-rumours",
   "version": "3.2.1"
 }

pytorch_adapter.bin

@@ -1,3 +1,3 @@
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-size 44420463
+oid sha256:2c07a1560eddc4a88a87dfe2e6339f540758ae22c0ebddc7f9e93cf7fe99ce51
+size 3595877

pytorch_model_head.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:97cd6de8c6777d56f1d15047fc7155430fbde96f61d972d416d6a85ff0052506
+oid sha256:572df3b3212c7f5f69b19a8c35023682b7d7272196e9ddc629b46e44b93f9f8b
 size 2370273