Upload correct trained model weights

README.md

@@ -1,9 +1,9 @@
 ---
 pipeline_tag: text-classification
 tags:
-  - phishing-detection
-  - mobilebert
-  - emails
+- phishing-detection
+- mobilebert
+- emails
 license: apache-2.0
 ---
 

config.json

@@ -1,10 +1,42 @@
-{
-  "id2label": {
-    "0": "LEGIT",
-    "1": "PHISH"
-  },
-  "label2id": {
-    "LEGIT": 0,
-    "PHISH": 1
-  }
-}
+{
+  "_name_or_path": "D:\\Programming\\Degree FYP\\Machine-learning\\MobileBert\\mobilebert_enron\\best",
+  "architectures": [
+    "MobileBertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_activation": false,
+  "classifier_dropout": null,
+  "embedding_size": 128,
+  "hidden_act": "relu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 512,
+  "id2label": {
+    "0": "LEGIT",
+    "1": "PHISH"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "intra_bottleneck_size": 128,
+  "key_query_shared_bottleneck": true,
+  "label2id": {
+    "LEGIT": 0,
+    "PHISH": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "mobilebert",
+  "normalization_type": "no_norm",
+  "num_attention_heads": 4,
+  "num_feedforward_networks": 4,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.3",
+  "trigram_input": true,
+  "true_hidden_size": 128,
+  "type_vocab_size": 2,
+  "use_bottleneck": true,
+  "use_bottleneck_attention": false,
+  "vocab_size": 30522
+}