Add BERTopic model

README.md

@@ -0,0 +1,75 @@
+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# rag-topic-model
+
+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("jkdamilola/rag-topic-model")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 6
+* Number of training documents: 168
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | to - klarna - for - my - the | 10 | -1_to_klarna_for_my | 
+| 0 | klarna - declined - my - in - ive | 63 | 0_klarna_declined_my_in | 
+| 1 | payment - the - to - for - pay | 33 | 1_payment_the_to_for | 
+| 2 | my - details - klarna - and - call | 27 | 2_my_details_klarna_and | 
+| 3 | store - refund - back - the - credit | 23 | 3_store_refund_back_the | 
+| 4 | the - shoes - ago - havent - sneakers | 12 | 4_the_shoes_ago_havent |
+
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: False
+* language: None
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: auto
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: False
+* zeroshot_min_similarity: 0.7
+* zeroshot_topic_list: None
+
+## Framework versions
+
+* Numpy: 1.26.4
+* HDBSCAN: 0.8.40
+* UMAP: 0.5.7
+* Pandas: 2.2.3
+* Scikit-Learn: 1.6.1
+* Sentence-transformers: 3.1.1
+* Transformers: 4.42.2
+* Numba: 0.60.0
+* Plotly: 6.1.2
+* Python: 3.9.6

config.json

@@ -0,0 +1,16 @@
+{
+  "calculate_probabilities": false,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": "auto",
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "zeroshot_min_similarity": 0.7,
+  "zeroshot_topic_list": null
+}

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9b52df5bed2195076aa8788f3b2f561e86fc34d10cce6e44b05df8bd85bba22b
+size 9304

topics.json

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+{
+  "topic_representations": {
+    "-1": [
+      [
+        "to",
+        0.06366634056582052
+      ],
+      [
+        "klarna",
+        0.058563426524662565
+      ],
+      [
+        "for",
+        0.05708016740383908
+      ],
+      [
+        "my",
+        0.0540535586409528
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+      [
+        "the",
+        0.04988948664228271
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+      [
+        "but",
+        0.044876771720143996
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+      [
+        "this",
+        0.04366555811224569
+      ],
+      [
+        "card",
+        0.042434634361117
+      ],
+      [
+        "payment",
+        0.03968910968001575
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+      [
+        "is",
+        0.038921410800726836
+      ]
+    ],
+    "0": [
+      [
+        "klarna",
+        0.07449586279845444
+      ],
+      [
+        "declined",
+        0.06795795177907002
+      ],
+      [
+        "my",
+        0.06705259331822376
+      ],
+      [
+        "in",
+        0.0611866123227055
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+      [
+        "ive",
+        0.05663866886753325
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+      [
+        "for",
+        0.055955306176357376
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+      [
+        "was",
+        0.04737667958727395
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+      [
+        "used",
+        0.043969660760076835
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+      [
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+      [
+        "due",
+        0.05249883650630263
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+      [
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+        0.0460478569965555
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+      [
+        "bought",
+        0.04577471628765139
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+      [
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+        0.04521429008125425
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+    "2": [
+      [
+        "my",
+        0.10165728926906413
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+      [
+        "details",
+        0.07901394868221154
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+      [
+        "klarna",
+        0.06967721403670435
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+      [
+        "and",
+        0.0685333462591036
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+      [
+        "call",
+        0.05870520531068303
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+      [
+        "account",
+        0.055683914274869524
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+      [
+        "someone",
+        0.05193147948287793
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+      [
+        "worried",
+        0.05028160370686189
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+      [
+        "email",
+        0.04659585878168645
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+      [
+        "to",
+        0.0449920124439751
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+    "3": [
+      [
+        "store",
+        0.08744239863150534
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+      [
+        "refund",
+        0.08035878276840205
+      ],
+      [
+        "back",
+        0.08035878276840205
+      ],
+      [
+        "the",
+        0.07540957475408547
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+      [
+        "credit",
+        0.06995391890520428
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+      [
+        "it",
+        0.06304408330439346
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+      [
+        "ago",
+        0.061326316218940496
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+      [
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+      [
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+        0.05644005898504077
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+    ],
+    "4": [
+      [
+        "the",
+        0.1034242317752282
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+      [
+        "shoes",
+        0.08174352145486977
+      ],
+      [
+        "ago",
+        0.08051463916033343
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+      [
+        "havent",
+        0.07423314580328677
+      ],
+      [
+        "sneakers",
+        0.0738013844449905
+      ],
+      [
+        "days",
+        0.06723944741489953
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+      [
+        "and",
+        0.06422783956470815
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+      [
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+      [
+        "ordered",
+        0.05904110755599241
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+      [
+        "received",
+        0.055674859352465085
+      ]
+    ]
+  },
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+    -1,
+    -1,
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+  "topic_sizes": {
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+    "-1": 63,
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+    "0": "0_klarna_declined_my_in",
+    "1": "1_payment_the_to_for",
+    "2": "2_my_details_klarna_and",
+    "3": "3_store_refund_back_the",
+    "4": "4_the_shoes_ago_havent"
+  },
+  "custom_labels": null,
+  "_outliers": 1,
+  "topic_aspects": {}
+}