Add language-detection

README.md

@@ -16,19 +16,17 @@ You can install it with `pip install adaptive-classifier`.
 ## Model Details
 
 - Base Model: answerdotai/ModernBERT-base
-- Number of Classes: 6
-- Total Examples: 360
+- Number of Classes: 4
+- Total Examples: 329
 - Embedding Dimension: 768
 
 ## Class Distribution
 
 ```
-chinese: 48 examples (13.3%)
-english: 48 examples (13.3%)
-french: 48 examples (13.3%)
-german: 48 examples (13.3%)
-other: 120 examples (33.3%)
-spanish: 48 examples (13.3%)
+english: 82 examples (24.9%)
+french: 83 examples (25.2%)
+other: 82 examples (24.9%)
+spanish: 82 examples (24.9%)
 ```
 
 ## Usage
@@ -52,7 +50,7 @@ classifier.add_examples(texts, labels)
 
 ## Training Details
 
-- Training Steps: 12
+- Training Steps: 11
 - Examples per Class: See distribution above
 - Prototype Memory: Active
 - Neural Adaptation: Active

config.json

@@ -32,21 +32,17 @@
   },
   "embedding_dim": 768,
   "id_to_label": {
-    "0": "spanish",
-    "1": "german",
-    "2": "chinese",
-    "3": "english",
-    "4": "other",
-    "5": "french"
+    "0": "other",
+    "1": "french",
+    "2": "english",
+    "3": "spanish"
   },
   "label_to_id": {
-    "chinese": 2,
-    "english": 3,
-    "french": 5,
-    "german": 1,
-    "other": 4,
-    "spanish": 0
+    "english": 2,
+    "french": 1,
+    "other": 0,
+    "spanish": 3
   },
   "model_name": "answerdotai/ModernBERT-base",
-  "train_steps": 12
+  "train_steps": 11
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9edb3fb0f240ba2d6f4f5e28a56d91b68104e769baecc84ffd1e5678f6a78b5d
-size 3572288
+oid sha256:a4b55b38f1092446591f208106b35ef2c21c5c20bbec5959a9941e1aa78509e7
+size 3562896