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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