wolf_topic_model
This is a 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:
from bertopic import BERTopic
topic_model = BERTopic.load("wongzien2000/wolf_topic_model")
topic_model.get_topic_info()
Topic overview
- Number of topics: 60
- Number of training documents: 2933
Click here for an overview of all topics.
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | like - just - video - delts - exercise | 11 | -1_like_just_video_delts |
| 0 | deadlift - deadlifts - strength - just - hypertrophy | 972 | 0_deadlift_deadlifts_strength_just |
| 1 | cable - lateral - cable lateral - raise - lateral raise | 101 | 1_cable_lateral_cable lateral_raise |
| 2 | curls - curl - incline - biceps - preacher | 88 | 2_curls_curl_incline_biceps |
| 3 | rows - row - tbar - bar - tbar row | 87 | 3_rows_row_tbar_bar |
| 4 | squats - squat - split - lunges - sissy squats | 66 | 4_squats_squat_split_lunges |
| 5 | triceps - tricep - overhead - elbows - head | 65 | 5_triceps_tricep_overhead_elbows |
| 6 | exercises - video - exercise - emg - videos | 64 | 6_exercises_video_exercise_emg |
| 7 | afternoon - el - mid afternoon - super mid - 1030 | 63 | 7_afternoon_el_mid afternoon_super mid |
| 8 | pullups - ups - pull - pull ups - chin | 57 | 8_pullups_ups_pull_pull ups |
| 9 | milo - dr milo - hear - miew - milo milo | 54 | 9_milo_dr milo_hear_miew |
| 10 | dr mike - dr - mike - dr mikes - mikes | 53 | 10_dr mike_dr_mike_dr mikes |
| 11 | tier - list - tier list - list tier - video | 53 | 11_tier_list_tier list_list tier |
| 12 | darth - sith - darth mike - mike - lord | 50 | 12_darth_sith_darth mike_mike |
| 13 | leg - leg extension - extension - quad - quads | 49 | 13_leg_leg extension_extension_quad |
| 14 | mike - mikes - face - mikes face - love mike | 46 | 14_mike_mikes_face_mikes face |
| 15 | stretch - position - lengthened - stretched - muscle | 43 | 15_stretch_position_lengthened_stretched |
| 16 | lats - lat - pullovers - pullover - feel | 43 | 16_lats_lat_pullovers_pullover |
| 17 | pistol - pistol squats - squats - squat - pistol squat | 41 | 17_pistol_pistol squats_squats_squat |
| 18 | press - overhead - overhead press - shoulder - shoulder press | 39 | 18_press_overhead_overhead press_shoulder |
| 19 | protein - fat - mass - protein intake - intake | 37 | 19_protein_fat_mass_protein intake |
| 20 | traps - rack - trap - shrug - shrugs | 37 | 20_traps_rack_trap_shrug |
| 21 | wolf - dr wolf - beard - dr - natural | 37 | 21_wolf_dr wolf_beard_dr |
| 22 | calf - calf raise - seated calf - seated - soleus | 36 | 22_calf_calf raise_seated calf_seated |
| 23 | sets - week - volume - reps - day | 35 | 23_sets_week_volume_reps |
| 24 | raise - lateral - lateral raise - raises - lateral raises | 34 | 24_raise_lateral_lateral raise_raises |
| 25 | straps - exercises - lunges - pull - upper | 33 | 25_straps_exercises_lunges_pull |
| 26 | app - myoadapt - december - waiting - coming | 32 | 26_app_myoadapt_december_waiting |
| 27 | muscle - muscle growth - growth - gain - week | 31 | 27_muscle_muscle growth_growth_gain |
| 28 | hypertrophy - strength - strength hypertrophy - hypertrophy love - like | 30 | 28_hypertrophy_strength_strength hypertrophy_hypertrophy love |
| 29 | shirt - sun - praise - hoodie - praise sun | 29 | 29_shirt_sun_praise_hoodie |
| 30 | barbell - row - dumbbell - tier - pullover | 29 | 30_barbell_row_dumbbell_tier |
| 31 | video - great video - video great - great - thank | 29 | 31_video_great video_video great_great |
| 32 | rear - rear delts - delts - delt - rear delt | 26 | 32_rear_rear delts_delts_delt |
| 33 | ending - end - prepared end - prepared - amazing ending | 24 | 33_ending_end_prepared end_prepared |
| 34 | partials - lengthened partials - lengthened - bitch - partials bitch | 22 | 34_partials_lengthened partials_lengthened_bitch |
| 35 | nordics - reverse - reverse nordics - quads - nordic | 22 | 35_nordics_reverse_reverse nordics_quads |
| 36 | dip - dips - rom - dip rom - dip form | 20 | 36_dip_dips_rom_dip rom |
| 37 | sound - audio - sound effects - effects - audio sounds | 20 | 37_sound_audio_sound effects_effects |
| 38 | shoulder - shoulders - best shoulder - shoulders start - shoulder programs | 20 | 38_shoulder_shoulders_best shoulder_shoulders start |
| 39 | bugenhagen - wait - eric - sticky ricky - ricky | 20 | 39_bugenhagen_wait_eric_sticky ricky |
| 40 | fly - flys - dumbbell fly - dumbbell - flies | 19 | 40_fly_flys_dumbbell fly_dumbbell |
| 41 | thanks - great - info - stuff - awesome finish | 19 | 41_thanks_great_info_stuff |
| 42 | dips - chest - pecs - dip - weighted dips | 19 | 42_dips_chest_pecs_dip |
| 43 | home - home gym - gym - equipment - limited | 17 | 43_home_home gym_gym_equipment |
| 44 | nordic - reverse nordic - nordic curl - reverse - curl | 17 | 44_nordic_reverse nordic_nordic curl_reverse |
| 45 | grip - pulldown - wide - wide grip - lat | 17 | 45_grip_pulldown_wide_wide grip |
| 46 | dumbbell - pullovers - dumbbells - doing - dumbbell pullovers | 16 | 46_dumbbell_pullovers_dumbbells_doing |
| 47 | blew - blown - bro - 140lbs - blew dont | 15 | 47_blew_blown_bro_140lbs |
| 48 | science - experts - matter experts - subject matter - studies | 15 | 48_science_experts_matter experts_subject matter |
| 49 | physique - guy - sciencebased - looks - guy physique | 15 | 49_physique_guy_sciencebased_looks |
| 50 | time - worse - convenient - exercises - sets | 14 | 50_time_worse_convenient_exercises |
| 51 | fat - body fat - 22 - body - percent | 14 | 51_fat_body fat_22_body |
| 52 | kurt - kurt angle - jacked - kinda - funny | 13 | 52_kurt_kurt angle_jacked_kinda |
| 53 | grandma - uncles - sex - sex grandma - poor | 13 | 53_grandma_uncles_sex_sex grandma |
| 54 | jeff - jeff nippard - nippard - ya - nippard copy | 13 | 54_jeff_jeff nippard_nippard_ya |
| 55 | channel - ii - benefit lot - advance complain - block channels | 13 | 55_channel_ii_benefit lot_advance complain |
| 56 | time stamps - stamps - timestamps - time - descriptive time | 12 | 56_time stamps_stamps_timestamps_time |
| 57 | content - man - content man - good content - algorithm | 12 | 57_content_man_content man_good content |
| 58 | delts - delts delts - delt - delt exercises - channel btw | 12 | 58_delts_delts delts_delt_delt exercises |
Training hyperparameters
- calculate_probabilities: True
- language: english
- 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
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