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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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# model_jeff |
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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("wongzien2000/model_jeff") |
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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: 26 |
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* Number of training documents: 36727 |
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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 | jeff - just - great - love - thank | 256 | -1_jeff_just_great_love | |
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| 0 | protein - fat - weight - eat - calories | 8978 | 0_protein_fat_weight_eat | |
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| 1 | sets - reps - exercise - week - sets reps | 9577 | 1_sets_reps_exercise_week | |
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| 2 | content - great - thank - science - informative | 5017 | 2_content_great_thank_science | |
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| 3 | breaking bad - breaking - bad - better - better breaking | 1473 | 3_breaking bad_breaking_bad_better | |
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| 4 | level - ready - ready level - level ready - level level | 1425 | 4_level_ready_ready level_level ready | |
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| 5 | bench - press - chest - bench press - grip | 1234 | 5_bench_press_chest_bench press | |
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| 6 | thank - great - man - amazing - thanks | 951 | 6_thank_great_man_amazing | |
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| 7 | fitness - videos - science - thank - jeff | 818 | 7_fitness_videos_science_thank | |
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| 8 | pro - elite - average - lost - level | 741 | 8_pro_elite_average_lost | |
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| 9 | app - macros - macrofactor - macro - fat | 641 | 9_app_macros_macrofactor_macro | |
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| 10 | jeff - jeff jeff - bro jeff - bro - love jeff | 578 | 10_jeff_jeff jeff_bro jeff_bro | |
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| 11 | videos - love - love videos - youtube - quality | 524 | 11_videos_love_love videos_youtube | |
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| 12 | kiwi - kiwi juice - juice - snort - snorting | 468 | 12_kiwi_kiwi juice_juice_snort | |
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| 13 | steroids - testosterone - steroid - anabolic - use steroids | 440 | 13_steroids_testosterone_steroid_anabolic | |
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| 14 | book - program - bought - books - ordered | 395 | 14_book_program_bought_books | |
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| 15 | roids - women - habits - atomic - atomic habits | 393 | 15_roids_women_habits_atomic | |
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| 16 | tall - short - look - height - dude | 382 | 16_tall_short_look_height | |
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| 17 | mask - wearing - wearing mask - hoodie - shirt | 340 | 17_mask_wearing_wearing mask_hoodie | |
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| 18 | shapiro - ben - ben shapiro - jacked - nerd | 336 | 18_shapiro_ben_ben shapiro_jacked | |
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| 19 | mom - chili - macros - recipe - plastic | 314 | 19_mom_chili_macros_recipe | |
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| 20 | jeff - thanks jeff - thanks - thank jeff - thank | 308 | 20_jeff_thanks jeff_thanks_thank jeff | |
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| 21 | sleep - hours - sleeping - work - job | 301 | 21_sleep_hours_sleeping_work | |
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| 22 | steph - bro steph - ber - bro - ber ber | 288 | 22_steph_bro steph_ber_bro | |
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| 23 | voice - sound - match - voice doesn - sounds | 282 | 23_voice_sound_match_voice doesn | |
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| 24 | thumbnail - picture - look - pic - photo | 267 | 24_thumbnail_picture_look_pic | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: True |
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* language: None |
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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: None |
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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: 2.0.2 |
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* HDBSCAN: 0.8.40 |
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* UMAP: 0.5.7 |
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* Pandas: 2.2.2 |
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* Scikit-Learn: 1.6.1 |
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* Sentence-transformers: 3.4.1 |
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* Transformers: 4.50.2 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.11.11 |
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