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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# general-hdscan-april3 |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("Thang203/general-hdscan-april3") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 11 |
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* Number of training documents: 6795 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | models - language - llms - language models - model | 12 | -1_models_language_llms_language models | |
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| 0 | models - language - llms - model - language models | 2197 | 0_models_language_llms_model | |
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| 1 | models - training - model - language - quantization | 2990 | 1_models_training_model_language | |
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| 2 | code - generation - code generation - models - llms | 430 | 2_code_generation_code generation_models | |
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| 3 | attacks - models - llms - adversarial - attack | 330 | 3_attacks_models_llms_adversarial | |
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| 4 | language - models - agents - llms - human | 328 | 4_language_models_agents_llms | |
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| 5 | ai - chatgpt - generative - generative ai - chatbots | 234 | 5_ai_chatgpt_generative_generative ai | |
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| 6 | students - education - chatgpt - ai - physics | 118 | 6_students_education_chatgpt_ai | |
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| 7 | music - poetry - generation - lyrics - audio | 97 | 7_music_poetry_generation_lyrics | |
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| 8 | mobile - wireless - devices - generative - network | 44 | 8_mobile_wireless_devices_generative | |
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| 9 | robot - dialogue - round - robots - preliminary round | 15 | 9_robot_dialogue_round_robots | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: 11 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.24.4 |
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* HDBSCAN: 0.8.33 |
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* UMAP: 0.5.6 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 2.6.1 |
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* Transformers: 4.38.2 |
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* Numba: 0.58.1 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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