| |
|
| | --- |
| | tags: |
| | - bertopic |
| | library_name: bertopic |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # model_sbs |
| | |
| | This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
| | BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
| | |
| | ## Usage |
| | |
| | To use this model, please install BERTopic: |
| | |
| | ``` |
| | pip install -U bertopic |
| | ``` |
| | |
| | You can use the model as follows: |
| | |
| | ```python |
| | from bertopic import BERTopic |
| | topic_model = BERTopic.load("wongzien2000/model_sbs") |
| | |
| | topic_model.get_topic_info() |
| | ``` |
| | |
| | ## Topic overview |
| | |
| | * Number of topics: 7 |
| | * Number of training documents: 1396 |
| | |
| | <details> |
| | <summary>Click here for an overview of all topics.</summary> |
| | |
| | | Topic ID | Topic Keywords | Topic Frequency | Label | |
| | |----------|----------------|-----------------|-------| |
| | | -1 | training - just - greg - videos - people | 57 | -1_training_just_greg_videos | |
| | | 0 | sets - muscle - volume - week - training | 151 | 0_sets_muscle_volume_week | |
| | | 1 | bench - press - shoulder - ohp - bar | 583 | 1_bench_press_shoulder_ohp | |
| | | 2 | greg - great - answer - thanks - thank | 222 | 2_greg_great_answer_thanks | |
| | | 3 | mike - dr - dr mike - eric - dr pak | 187 | 3_mike_dr_dr mike_eric | |
| | | 4 | science - based - science based - studies - brad | 135 | 4_science_based_science based_studies | |
| | | 5 | music - background - background music - audio - merrily | 61 | 5_music_background_background music_audio | |
| | |
| | </details> |
| | |
| | ## Training hyperparameters |
| | |
| | * calculate_probabilities: True |
| | * language: None |
| | * low_memory: False |
| | * min_topic_size: 10 |
| | * n_gram_range: (1, 1) |
| | * nr_topics: None |
| | * seed_topic_list: None |
| | * top_n_words: 10 |
| | * verbose: True |
| | * zeroshot_min_similarity: 0.7 |
| | * zeroshot_topic_list: None |
| | |
| | ## Framework versions |
| | |
| | * Numpy: 2.0.2 |
| | * HDBSCAN: 0.8.40 |
| | * UMAP: 0.5.7 |
| | * Pandas: 2.2.2 |
| | * Scikit-Learn: 1.6.1 |
| | * Sentence-transformers: 3.4.1 |
| | * Transformers: 4.50.2 |
| | * Numba: 0.60.0 |
| | * Plotly: 5.24.1 |
| | * Python: 3.11.11 |
| | |
