README.md

---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# transformers_issues_topics

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("noumanjavaid/transformers_issues_topics")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 30
* Number of training documents: 9000

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | models - bert - model - tensorflow - tokenizers | 14 | -1_models_bert_model_tensorflow | 
| 0 | tokenizer - tokenizers - tokenization - token - tokens | 2078 | 0_tokenizer_tokenizers_tokenization_token | 
| 1 | pytorch - tensorflow - modelingutilspy - attributeerror - runtimeerror | 1886 | 1_pytorch_tensorflow_modelingutilspy_attributeerror | 
| 2 | trainertrain - trainer - trainers - training - evaluateduringtraining | 696 | 2_trainertrain_trainer_trainers_training | 
| 3 | summarization - summaries - summary - examples - sentencepiece | 636 | 3_summarization_summaries_summary_examples | 
| 4 | gpt2tokenizer - gpt2 - gpt2tokenizerfast - gpt2model - gpt | 452 | 4_gpt2tokenizer_gpt2_gpt2tokenizerfast_gpt2model | 
| 5 | modelcard - modelcards - card - model - models | 451 | 5_modelcard_modelcards_card_model | 
| 6 | typos - typo - fix - correction - fixed | 446 | 6_typos_typo_fix_correction | 
| 7 | readmemd - readmetxt - readme - modelcard - file | 284 | 7_readmemd_readmetxt_readme_modelcard | 
| 8 | t5 - t5model - t5base - tf - t5large | 256 | 8_t5_t5model_t5base_tf | 
| 9 | longformer - longformers - longformerformultiplechoice - longformertokenizerfast - attentions | 254 | 9_longformer_longformers_longformerformultiplechoice_longformertokenizerfast | 
| 10 | seq2seq - seq2seqtrainer - seq2seqdataset - seq2seqfinetunepy - runseq2seq | 223 | 10_seq2seq_seq2seqtrainer_seq2seqdataset_seq2seqfinetunepy | 
| 11 | pipeline - pipelines - ner - pipelinesentimentanalysis - nerpipeline | 209 | 11_pipeline_pipelines_ner_pipelinesentimentanalysis | 
| 12 | ci - testing - tests - test - testgeneratefp16 | 175 | 12_ci_testing_tests_test | 
| 13 | deprecate - deprecation - deprecated - warnings - warning | 136 | 13_deprecate_deprecation_deprecated_warnings | 
| 14 | onnxonnxruntime - onnx - 04onnxexport - 04onnxexportipynb - benchmarkonnxexport | 129 | 14_onnxonnxruntime_onnx_04onnxexport_04onnxexportipynb | 
| 15 | datacollatorforlanguagemodelingfile - datacollatorforlanguagemodeling - datacollatorforlanguagemodelling - datacollatorforpermutationlanguagemodeling - labelsmoothingfactor | 100 | 15_datacollatorforlanguagemodelingfile_datacollatorforlanguagemodeling_datacollatorforlanguagemodelling_datacollatorforpermutationlanguagemodeling | 
| 16 | deberta - debertav2 - debertav2initpy - debertatokenizer - debertav2xxlargemnli | 73 | 16_deberta_debertav2_debertav2initpy_debertatokenizer | 
| 17 | benchmark - benchmarking - benchmarks - comparison - results | 63 | 17_benchmark_benchmarking_benchmarks_comparison | 
| 18 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 61 | 18_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
| 19 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 56 | 19_wandbproject_wandb_wandbcallback_wandbdisabled | 
| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 54 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | 
| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 49 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
| 22 | configpath - configs - config - configuration - modelconfigs | 49 | 22_configpath_configs_config_configuration | 
| 23 | logging - logs - log - logger - loggingfirststep | 45 | 23_logging_logs_log_logger | 
| 24 | cachedir - cache - cachedpath - caching - cached | 34 | 24_cachedir_cache_cachedpath_caching | 
| 25 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 34 | 25_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | 
| 26 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf | 23 | 26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | 
| 27 | dict - dictstr - returndict - parse - arguments | 17 | 27_dict_dictstr_returndict_parse | 
| 28 | pplm - pr - deprecated - variable - ppl | 17 | 28_pplm_pr_deprecated_variable |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: 30
* seed_topic_list: None
* top_n_words: 10
* verbose: True
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.25.2
* HDBSCAN: 0.8.37
* UMAP: 0.5.6
* Pandas: 2.0.3
* Scikit-Learn: 1.2.2
* Sentence-transformers: 3.0.1
* Transformers: 4.41.2
* Numba: 0.58.1
* Plotly: 5.15.0
* Python: 3.10.12