Upload model with adaptive-classifier

README.md

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+---
+language: multilingual
+tags:
+- adaptive-classifier
+- text-classification
+- continuous-learning
+license: apache-2.0
+---
+
+# Adaptive Classifier
+
+This model is an instance of an [adaptive-classifier](https://github.com/codelion/adaptive-classifier) that allows for continuous learning and dynamic class addition.
+
+## Installation
+
+**IMPORTANT:** To use this model, you must first install the `adaptive-classifier` library. You do **NOT** need `trust_remote_code=True`.
+
+```bash
+pip install adaptive-classifier
+```
+
+## Model Details
+
+- Base Model: distilbert/distilbert-base-cased
+- Number of Classes: 39
+- Total Examples: 3961
+- Embedding Dimension: 768
+
+## Class Distribution
+
+```
+administrativnie_pravo: 31 examples (0.8%)
+avtovlasnykam: 151 examples (3.8%)
+bankivska_diialnist: 101 examples (2.5%)
+dierzhavni_zakupivli: 2 examples (0.1%)
+doghovirni_vidnosini: 41 examples (1.0%)
+dovircha_vlastnist: 7 examples (0.2%)
+ekologiya: 3 examples (0.1%)
+gospodarskie_pravo: 38 examples (1.0%)
+gromadianski_pravovidnosini: 32 examples (0.8%)
+immighratsiia_iemighratsiia: 107 examples (2.7%)
+inshe: 858 examples (21.7%)
+intieliektualna_vlasnist: 22 examples (0.6%)
+investitsii: 5 examples (0.1%)
+korporativnie_pravo: 12 examples (0.3%)
+kriminalnie_pravo: 81 examples (2.0%)
+litsienzuvannia: 9 examples (0.2%)
+medicina: 67 examples (1.7%)
+mizhnarodni_pravovidnosini: 12 examples (0.3%)
+mytne_pravo: 3 examples (0.1%)
+nierukhomist: 97 examples (2.4%)
+notarialni_pytanniia: 19 examples (0.5%)
+opodatkuvannia: 131 examples (3.3%)
+pidpriemnicka_dialnist: 43 examples (1.1%)
+piensiiata_sotsialni_viplati: 154 examples (3.9%)
+pratsevlashtuvvannya: 181 examples (4.6%)
+prava_spozhivachiv: 30 examples (0.8%)
+prava_vnutrishno_pieriemishchienikh_osib: 111 examples (2.8%)
+reklama: 2 examples (0.1%)
+reyestraciya_likvidaciya_bankrutstvo: 78 examples (2.0%)
+simejne_pravo: 288 examples (7.3%)
+sotsialnyj_zakhist: 172 examples (4.3%)
+spadkove_pravo: 80 examples (2.0%)
+strakhuvannya: 2 examples (0.1%)
+sudova_praktika: 154 examples (3.9%)
+tsivilne_pravo: 117 examples (3.0%)
+vighotovliennia_produktsiyi_ta_nadannia_poslugh: 4 examples (0.1%)
+viiskovie_pravo: 594 examples (15.0%)
+zhitlovi_pravovidnosini: 58 examples (1.5%)
+ziemielnie_pravo: 64 examples (1.6%)
+```
+
+## Usage
+
+After installing the `adaptive-classifier` library, you can load and use this model:
+
+```python
+from adaptive_classifier import AdaptiveClassifier
+
+# Load the model (no trust_remote_code needed!)
+classifier = AdaptiveClassifier.from_pretrained("adaptive-classifier/model-name")
+
+# Make predictions
+text = "Your text here"
+predictions = classifier.predict(text)
+print(predictions)  # List of (label, confidence) tuples
+
+# Add new examples for continuous learning
+texts = ["Example 1", "Example 2"]
+labels = ["class1", "class2"]
+classifier.add_examples(texts, labels)
+```
+
+**Note:** This model uses the `adaptive-classifier` library distributed via PyPI. You do **NOT** need to set `trust_remote_code=True` - just install the library first.
+
+## Training Details
+
+- Training Steps: 1
+- Examples per Class: See distribution above
+- Prototype Memory: Active
+- Neural Adaptation: Active
+
+## Limitations
+
+This model:
+- Requires at least 3 examples per class
+- Has a maximum of 1000 examples per class
+- Updates prototypes every 10 examples
+
+## Citation
+
+```bibtex
+@software{adaptive_classifier,
+  title = {Adaptive Classifier: Dynamic Text Classification with Continuous Learning},
+  author = {Sharma, Asankhaya},
+  year = {2025},
+  publisher = {GitHub},
+  url = {https://github.com/codelion/adaptive-classifier}
+}
+```

config.json

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+{
+  "config": {
+    "batch_size": 4,
+    "cost_coefficients": {},
+    "cost_function_type": "separable",
+    "device_map": "auto",
+    "early_stopping_patience": 2,
+    "enable_strategic_mode": false,
+    "epochs": 20,
+    "ewc_lambda": 100.0,
+    "gradient_checkpointing": false,
+    "learning_rate": 2e-05,
+    "max_examples_per_class": 1000,
+    "max_length": 2048,
+    "min_confidence": 0.1,
+    "min_examples_per_class": 3,
+    "neural_weight": 0.3,
+    "num_representative_examples": 5,
+    "prototype_update_frequency": 10,
+    "prototype_weight": 0.7,
+    "quantization": null,
+    "similarity_threshold": 0.6,
+    "strategic_blend_regular_weight": 0.6,
+    "strategic_blend_strategic_weight": 0.4,
+    "strategic_lambda": 0.1,
+    "strategic_prediction_head_weight": 0.5,
+    "strategic_prediction_proto_weight": 0.5,
+    "strategic_robust_head_weight": 0.2,
+    "strategic_robust_proto_weight": 0.8,
+    "strategic_training_frequency": 10,
+    "warmup_steps": 0
+  },
+  "embedding_dim": 768,
+  "id_to_label": {
+    "0": "administrativnie_pravo",
+    "1": "avtovlasnykam",
+    "10": "inshe",
+    "11": "intieliektualna_vlasnist",
+    "12": "investitsii",
+    "13": "korporativnie_pravo",
+    "14": "kriminalnie_pravo",
+    "15": "litsienzuvannia",
+    "16": "medicina",
+    "17": "mizhnarodni_pravovidnosini",
+    "18": "mytne_pravo",
+    "19": "nierukhomist",
+    "2": "bankivska_diialnist",
+    "20": "notarialni_pytanniia",
+    "21": "opodatkuvannia",
+    "22": "pidpriemnicka_dialnist",
+    "23": "piensiiata_sotsialni_viplati",
+    "24": "pratsevlashtuvvannya",
+    "25": "prava_spozhivachiv",
+    "26": "prava_vnutrishno_pieriemishchienikh_osib",
+    "27": "reklama",
+    "28": "reyestraciya_likvidaciya_bankrutstvo",
+    "29": "simejne_pravo",
+    "3": "dierzhavni_zakupivli",
+    "30": "sotsialnyj_zakhist",
+    "31": "spadkove_pravo",
+    "32": "strakhuvannya",
+    "33": "sudova_praktika",
+    "34": "tsivilne_pravo",
+    "35": "vighotovliennia_produktsiyi_ta_nadannia_poslugh",
+    "36": "viiskovie_pravo",
+    "37": "zhitlovi_pravovidnosini",
+    "38": "ziemielnie_pravo",
+    "4": "doghovirni_vidnosini",
+    "5": "dovircha_vlastnist",
+    "6": "ekologiya",
+    "7": "gospodarskie_pravo",
+    "8": "gromadianski_pravovidnosini",
+    "9": "immighratsiia_iemighratsiia"
+  },
+  "label_to_id": {
+    "administrativnie_pravo": 0,
+    "avtovlasnykam": 1,
+    "bankivska_diialnist": 2,
+    "dierzhavni_zakupivli": 3,
+    "doghovirni_vidnosini": 4,
+    "dovircha_vlastnist": 5,
+    "ekologiya": 6,
+    "gospodarskie_pravo": 7,
+    "gromadianski_pravovidnosini": 8,
+    "immighratsiia_iemighratsiia": 9,
+    "inshe": 10,
+    "intieliektualna_vlasnist": 11,
+    "investitsii": 12,
+    "korporativnie_pravo": 13,
+    "kriminalnie_pravo": 14,
+    "litsienzuvannia": 15,
+    "medicina": 16,
+    "mizhnarodni_pravovidnosini": 17,
+    "mytne_pravo": 18,
+    "nierukhomist": 19,
+    "notarialni_pytanniia": 20,
+    "opodatkuvannia": 21,
+    "pidpriemnicka_dialnist": 22,
+    "piensiiata_sotsialni_viplati": 23,
+    "pratsevlashtuvvannya": 24,
+    "prava_spozhivachiv": 25,
+    "prava_vnutrishno_pieriemishchienikh_osib": 26,
+    "reklama": 27,
+    "reyestraciya_likvidaciya_bankrutstvo": 28,
+    "simejne_pravo": 29,
+    "sotsialnyj_zakhist": 30,
+    "spadkove_pravo": 31,
+    "strakhuvannya": 32,
+    "sudova_praktika": 33,
+    "tsivilne_pravo": 34,
+    "vighotovliennia_produktsiyi_ta_nadannia_poslugh": 35,
+    "viiskovie_pravo": 36,
+    "zhitlovi_pravovidnosini": 37,
+    "ziemielnie_pravo": 38
+  },
+  "library_name": "adaptive-classifier",
+  "model_name": "distilbert/distilbert-base-cased",
+  "train_steps": 1,
+  "training_history": {
+    "administrativnie_pravo": 31,
+    "avtovlasnykam": 151,
+    "bankivska_diialnist": 101,
+    "dierzhavni_zakupivli": 2,
+    "doghovirni_vidnosini": 41,
+    "dovircha_vlastnist": 7,
+    "ekologiya": 3,
+    "gospodarskie_pravo": 38,
+    "gromadianski_pravovidnosini": 32,
+    "immighratsiia_iemighratsiia": 107,
+    "inshe": 858,
+    "intieliektualna_vlasnist": 22,
+    "investitsii": 5,
+    "korporativnie_pravo": 12,
+    "kriminalnie_pravo": 81,
+    "litsienzuvannia": 9,
+    "medicina": 67,
+    "mizhnarodni_pravovidnosini": 12,
+    "mytne_pravo": 3,
+    "nierukhomist": 97,
+    "notarialni_pytanniia": 19,
+    "opodatkuvannia": 131,
+    "pidpriemnicka_dialnist": 43,
+    "piensiiata_sotsialni_viplati": 154,
+    "pratsevlashtuvvannya": 181,
+    "prava_spozhivachiv": 30,
+    "prava_vnutrishno_pieriemishchienikh_osib": 111,
+    "reklama": 2,
+    "reyestraciya_likvidaciya_bankrutstvo": 78,
+    "simejne_pravo": 288,
+    "sotsialnyj_zakhist": 172,
+    "spadkove_pravo": 80,
+    "strakhuvannya": 2,
+    "sudova_praktika": 154,
+    "tsivilne_pravo": 117,
+    "vighotovliennia_produktsiyi_ta_nadannia_poslugh": 4,
+    "viiskovie_pravo": 594,
+    "zhitlovi_pravovidnosini": 58,
+    "ziemielnie_pravo": 64
+  }
+}

model.safetensors

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onnx/config.json

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onnx/ort_config.json

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onnx/tokenizer_config.json

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