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KingKazma
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xsum_6789_3000_1500_test

Text Classification
BERTopic
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  1. README.md +94 -0
  2. config.json +15 -0
  3. topic_embeddings.safetensors +3 -0
  4. topics.json +2838 -0
README.md ADDED
@@ -0,0 +1,94 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ ---
3
+ tags:
4
+ - bertopic
5
+ library_name: bertopic
6
+ pipeline_tag: text-classification
7
+ ---
8
+
9
+ # xsum_6789_3000_1500_test
10
+
11
+ This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
12
+ BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
13
+
14
+ ## Usage
15
+
16
+ To use this model, please install BERTopic:
17
+
18
+ ```
19
+ pip install -U bertopic
20
+ ```
21
+
22
+ You can use the model as follows:
23
+
24
+ ```python
25
+ from bertopic import BERTopic
26
+ topic_model = BERTopic.load("KingKazma/xsum_6789_3000_1500_test")
27
+
28
+ topic_model.get_topic_info()
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+ ```
30
+
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+ ## Topic overview
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+
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+ * Number of topics: 27
34
+ * Number of training documents: 1500
35
+
36
+ <details>
37
+ <summary>Click here for an overview of all topics.</summary>
38
+
39
+ | Topic ID | Topic Keywords | Topic Frequency | Label |
40
+ |----------|----------------|-----------------|-------|
41
+ | -1 | said - people - would - also - one | 10 | -1_said_people_would_also |
42
+ | 0 | police - said - court - mr - found | 508 | 0_police_said_court_mr |
43
+ | 1 | mr - us - said - president - military | 144 | 1_mr_us_said_president |
44
+ | 2 | sport - team - world - race - champion | 136 | 2_sport_team_world_race |
45
+ | 3 | wales - vote - party - said - labour | 96 | 3_wales_vote_party_said |
46
+ | 4 | foul - win - right - box - half | 84 | 4_foul_win_right_box |
47
+ | 5 | care - nhs - tax - said - health | 62 | 5_care_nhs_tax_said |
48
+ | 6 | league - club - season - appearance - football | 50 | 6_league_club_season_appearance |
49
+ | 7 | wicket - cricket - england - ball - test | 36 | 7_wicket_cricket_england_ball |
50
+ | 8 | rate - share - bank - growth - price | 35 | 8_rate_share_bank_growth |
51
+ | 9 | rugby - england - wales - player - ospreys | 31 | 9_rugby_england_wales_player |
52
+ | 10 | school - teacher - education - child - council | 29 | 10_school_teacher_education_child |
53
+ | 11 | road - crash - police - collision - barrier | 27 | 11_road_crash_police_collision |
54
+ | 12 | fire - said - rescue - plane - injured | 27 | 12_fire_said_rescue_plane |
55
+ | 13 | music - radio - band - singer - show | 27 | 13_music_radio_band_singer |
56
+ | 14 | passenger - airport - railway - said - scotrail | 24 | 14_passenger_airport_railway_said |
57
+ | 15 | museum - painting - said - collection - royal | 23 | 15_museum_painting_said_collection |
58
+ | 16 | road - flooding - weather - beach - rain | 22 | 16_road_flooding_weather_beach |
59
+ | 17 | eu - trade - european - bank - deal | 19 | 17_eu_trade_european_bank |
60
+ | 18 | cell - cancer - ebola - disease - human | 18 | 18_cell_cancer_ebola_disease |
61
+ | 19 | temperature - dr - glacier - heat - researcher | 16 | 19_temperature_dr_glacier_heat |
62
+ | 20 | bitcoin - software - android - superfish - battery | 15 | 20_bitcoin_software_android_superfish |
63
+ | 21 | club - football - league - manager - rodgers | 14 | 21_club_football_league_manager |
64
+ | 22 | zwolle - pec - ajax - zidane - real | 13 | 22_zwolle_pec_ajax_zidane |
65
+ | 23 | film - best - actress - role - gillan | 12 | 23_film_best_actress_role |
66
+ | 24 | women - mexico - denmark - footed - romania | 12 | 24_women_mexico_denmark_footed |
67
+ | 25 | dairy - comedy - uk - export - food | 10 | 25_dairy_comedy_uk_export |
68
+
69
+ </details>
70
+
71
+ ## Training hyperparameters
72
+
73
+ * calculate_probabilities: True
74
+ * language: english
75
+ * low_memory: False
76
+ * min_topic_size: 10
77
+ * n_gram_range: (1, 1)
78
+ * nr_topics: None
79
+ * seed_topic_list: None
80
+ * top_n_words: 10
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+ * verbose: False
82
+
83
+ ## Framework versions
84
+
85
+ * Numpy: 1.22.4
86
+ * HDBSCAN: 0.8.33
87
+ * UMAP: 0.5.3
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+ * Pandas: 1.5.3
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+ * Scikit-Learn: 1.2.2
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+ * Sentence-transformers: 2.2.2
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+ * Transformers: 4.31.0
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+ * Numba: 0.57.1
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+ * Plotly: 5.13.1
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+ * Python: 3.10.12
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+ "verbose": false,
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+ "embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
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+ }
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+ version https://git-lfs.github.com/spec/v1
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