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config.json

@@ -1,26 +1,37 @@
 {
-  "activation": "gelu",
-  "architectures": [
-    "DistilBertModel"
+  _name_or_path: prajjwal1/bert-tiny,
+  architectures: [
+    BertForSequenceClassification
   ],
-  "attention_dropout": 0.1,
-  "bos_token_id": null,
-  "dim": 768,
-  "dropout": 0.1,
-  "dtype": "float32",
-  "eos_token_id": null,
-  "hidden_dim": 3072,
-  "initializer_range": 0.02,
-  "max_position_embeddings": 512,
-  "model_type": "distilbert",
-  "n_heads": 12,
-  "n_layers": 6,
-  "pad_token_id": 0,
-  "qa_dropout": 0.1,
-  "seq_classif_dropout": 0.2,
-  "sinusoidal_pos_embds": false,
-  "tie_weights_": true,
-  "tie_word_embeddings": true,
-  "transformers_version": "5.2.0",
-  "vocab_size": 30522
+  attention_probs_dropout_prob: 0.1,
+  classifier_dropout: null,
+  gradient_checkpointing: false,
+  hidden_act: gelu,
+  hidden_dropout_prob: 0.1,
+  hidden_size: 128,
+  id2label: {
+    0: human,
+    1: ai
+  },
+  initializer_range: 0.02,
+  intermediate_size: 512,
+  label2id: {
+    ai: 1,
+    human: 0
+  },
+  layer_norm_eps: 1e-12,
+  max_position_embeddings: 512,
+  model_type: bert,
+  num_attention_heads: 2,
+  num_hidden_layers: 2,
+  num_labels: 2,
+  output_attentions: false,
+  output_hidden_states: false,
+  pad_token_id: 0,
+  position_embedding_type: absolute,
+  torch_dtype: float32,
+  transformers_version: 4.41.0,
+  type_vocab_size: 2,
+  use_cache: true,
+  vocab_size: 30522
 }