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KingKazma
/
xsum_123_3000_1500_validation

Text Classification
BERTopic
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Files changed (4) hide show
  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_123_3000_1500_validation
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_123_3000_1500_validation")
27
+
28
+ topic_model.get_topic_info()
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+ ```
30
+
31
+ ## 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 - mr - would - also - year | 5 | -1_said_mr_would_also |
42
+ | 0 | police - said - court - mr - found | 654 | 0_police_said_court_mr |
43
+ | 1 | said - council - site - would - development | 101 | 1_said_council_site_would |
44
+ | 2 | attack - killed - taliban - syria - government | 68 | 2_attack_killed_taliban_syria |
45
+ | 3 | gold - world - race - sport - olympic | 57 | 3_gold_world_race_sport |
46
+ | 4 | price - bank - rate - share - company | 53 | 4_price_bank_rate_share |
47
+ | 5 | party - vote - labour - mr - ukip | 52 | 5_party_vote_labour_mr |
48
+ | 6 | league - season - player - premier - club | 49 | 6_league_season_player_premier |
49
+ | 7 | cricket - england - wicket - game - test | 45 | 7_cricket_england_wicket_game |
50
+ | 8 | crash - car - road - accident - said | 42 | 8_crash_car_road_accident |
51
+ | 9 | wales - game - rugby - davies - hes | 40 | 9_wales_game_rugby_davies |
52
+ | 10 | patient - health - hospital - service - ambulance | 34 | 10_patient_health_hospital_service |
53
+ | 11 | foul - corner - half - box - kick | 32 | 11_foul_corner_half_box |
54
+ | 12 | trump - clinton - mr - mrs - us | 30 | 12_trump_clinton_mr_mrs |
55
+ | 13 | president - mr - africa - south - mugabe | 30 | 13_president_mr_africa_south |
56
+ | 14 | animal - dog - bird - said - rspca | 28 | 14_animal_dog_bird_said |
57
+ | 15 | school - education - teacher - child - pupil | 26 | 15_school_education_teacher_child |
58
+ | 16 | world - round - number - murray - court | 25 | 16_world_round_number_murray |
59
+ | 17 | northern - ireland - party - dup - sinn | 23 | 17_northern_ireland_party_dup |
60
+ | 18 | album - song - like - music - band | 17 | 18_album_song_like_music |
61
+ | 19 | fire - building - police - blaze - service | 16 | 19_fire_building_police_blaze |
62
+ | 20 | fossil - brontosaurus - dinosaur - found - animal | 16 | 20_fossil_brontosaurus_dinosaur_found |
63
+ | 21 | film - star - artist - novel - photograph | 16 | 21_film_star_artist_novel |
64
+ | 22 | wage - income - living - tax - uk | 11 | 22_wage_income_living_tax |
65
+ | 23 | gang - guerrero - prison - state - police | 11 | 23_gang_guerrero_prison_state |
66
+ | 24 | albion - brighton - hove - burton - wigan | 11 | 24_albion_brighton_hove_burton |
67
+ | 25 | 3d - space - kelly - cmdr - flight | 8 | 25_3d_space_kelly_cmdr |
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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+ "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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