|
|
|
--- |
|
tags: |
|
- bertopic |
|
library_name: bertopic |
|
pipeline_tag: text-classification |
|
--- |
|
|
|
# xsum_108_5000000_2500000_test |
|
|
|
This is a [BERTopic](https://github.com/MaartenGr/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: |
|
|
|
```python |
|
from bertopic import BERTopic |
|
topic_model = BERTopic.load("KingKazma/xsum_108_5000000_2500000_test") |
|
|
|
topic_model.get_topic_info() |
|
``` |
|
|
|
## Topic overview |
|
|
|
* Number of topics: 14 |
|
* Number of training documents: 11334 |
|
|
|
<details> |
|
<summary>Click here for an overview of all topics.</summary> |
|
|
|
| Topic ID | Topic Keywords | Topic Frequency | Label | |
|
|----------|----------------|-----------------|-------| |
|
| -1 | said - win - first - one - time | 13 | -1_said_win_first_one | |
|
| 0 | said - mr - would - people - also | 1003 | 0_said_mr_would_people | |
|
| 1 | win - game - league - goal - right | 7868 | 1_win_game_league_goal | |
|
| 2 | race - olympic - sport - gold - team | 1707 | 2_race_olympic_sport_gold | |
|
| 3 | england - cricket - wicket - test - captain | 225 | 3_england_cricket_wicket_test | |
|
| 4 | race - hamilton - mercedes - f1 - lap | 192 | 4_race_hamilton_mercedes_f1 | |
|
| 5 | match - murray - konta - seed - set | 62 | 5_match_murray_konta_seed | |
|
| 6 | round - birdie - shot - par - bogey | 59 | 6_round_birdie_shot_par | |
|
| 7 | fight - boxing - champion - ali - title | 49 | 7_fight_boxing_champion_ali | |
|
| 8 | yn - ar - ei - yr - wedi | 48 | 8_yn_ar_ei_yr | |
|
| 9 | unsupported - updated - playback - media - device | 33 | 9_unsupported_updated_playback_media | |
|
| 10 | world - champion - osullivan - event - snooker | 29 | 10_world_champion_osullivan_event | |
|
| 11 | fifa - blatter - football - platini - fifas | 25 | 11_fifa_blatter_football_platini | |
|
| 12 | ebola - sierra - leone - outbreak - people | 21 | 12_ebola_sierra_leone_outbreak | |
|
|
|
</details> |
|
|
|
## 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: False |
|
|
|
## Framework versions |
|
|
|
* Numpy: 1.22.4 |
|
* HDBSCAN: 0.8.33 |
|
* UMAP: 0.5.3 |
|
* Pandas: 1.5.3 |
|
* Scikit-Learn: 1.2.2 |
|
* Sentence-transformers: 2.2.2 |
|
* Transformers: 4.31.0 |
|
* Numba: 0.57.1 |
|
* Plotly: 5.13.1 |
|
* Python: 3.10.12 |
|
|
