adapt config

config.json

@@ -1,25 +1,43 @@
+
 {
   "_name_or_path": "Maslionok/pipeline1",
   "architectures": [
-    "Pipeline_One"
+    "BertForSequenceClassification"
   ],
-  "model_type": "bert",
-  "num_labels": 3,
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "custom_pipelines": {
+    "pair-classification": {
+      "impl": "impresso_langident_wrapper.Pipeline_One",
+      "pt": "AutoModelForSequenceClassification",
+      "tf": "TFAutoModelForSequenceClassification"
+    }
+  },
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
-    "0": "English",
-    "1": "German",
-    "2": "French"
+    "0": "not equivalent",
+    "1": "equivalent"
   },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
-    "English": 0,
-    "German": 1,
-    "French": 2
+    "equivalent": 1,
+    "not equivalent": 0
   },
-  "custom_pipelines": {
-    "language-detection": {
-      "impl": "impresso_langident_wrapper.Pipeline_One",
-      "pt": "AutoModel",
-      "tf": []
-    }
-  }
-}
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}