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adapter_config.json

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+{
+  "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
+  },
+  "config_id": "9076f36a74755ac4",
+  "hidden_size": 768,
+  "model_class": "MT5ForConditionalGeneration",
+  "model_name": "bigscience/mt0-base",
+  "model_type": "mt5",
+  "name": "wikipedia",
+  "version": "0.1.2"
+}

head_config.json

@@ -0,0 +1,14 @@
+{
+  "config": null,
+  "hidden_size": 768,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "model_class": "MT5ForConditionalGeneration",
+  "model_name": "bigscience/mt0-base",
+  "model_type": "mt5",
+  "name": null,
+  "num_labels": 2,
+  "version": "0.1.2"
+}

pytorch_adapter.bin

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+oid sha256:ab5680365ebb27c658167d48f47cbd47380836a8ec489810d8bd9ff46f85d235
+size 7190678

pytorch_model_head.bin

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+oid sha256:2de313dbac1d4f2178aab33a7167133e4edbb02c0cfef599fef3df03d3e4c73e
+size 768345363