---
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("FelipeSarmento/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 | bert - model - input - models - layer | 11 | -1_bert_model_input_models | 
| 0 | encoderdecoder - encoderdecodermodel - encoder - decoder - tokenizers | 2113 | 0_encoderdecoder_encoderdecodermodel_encoder_decoder | 
| 1 | trainertrain - trainer - trainingarguments - pytorch - training | 1753 | 1_trainertrain_trainer_trainingarguments_pytorch | 
| 2 | importerror - attributeerror - valueerror - typeerror - indexerror | 1248 | 2_importerror_attributeerror_valueerror_typeerror | 
| 3 | modelcard - modelcards - card - model - models | 472 | 3_modelcard_modelcards_card_model | 
| 4 | doc - typos - docstring - docs - typo | 458 | 4_doc_typos_docstring_docs | 
| 5 | xlnetmodel - xlnet - xlnetlmheadmodel - xlm - xlarge | 358 | 5_xlnetmodel_xlnet_xlnetlmheadmodel_xlm | 
| 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 301 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | 
| 7 | readmemd - modelcard - readmetxt - readme - file | 278 | 7_readmemd_modelcard_readmetxt_readme | 
| 8 | ci - testing - tests - speedup - slow | 262 | 8_ci_testing_tests_speedup | 
| 9 | transformerscli - transformers - transformer - transformerxl - importerror | 245 | 9_transformerscli_transformers_transformer_transformerxl | 
| 10 | s2s - s2t - s2sdistill - s2strainer - exampless2s | 238 | 10_s2s_s2t_s2sdistill_s2strainer | 
| 11 | trainertrain - trainer - logging - training - feattrainer | 212 | 11_trainertrain_trainer_logging_training | 
| 12 | questionansweringpipeline - distilbertforquestionanswering - answering - questionanswering - tfalbertforquestionanswering | 139 | 12_questionansweringpipeline_distilbertforquestionanswering_answering_questionanswering | 
| 13 | ner - pipeline - pipelines - nerpipeline - fixpipeline | 127 | 13_ner_pipeline_pipelines_nerpipeline | 
| 14 | longformer - longformers - longform - longformerforqa - longformerlayer | 126 | 14_longformer_longformers_longform_longformerforqa | 
| 15 | label - labelsmoothingfactor - labels - labelsmoothing - labellist | 116 | 15_label_labelsmoothingfactor_labels_labelsmoothing | 
| 16 | onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb | 101 | 16_onnxonnxruntime_onnx_onnxexport_04onnxexport | 
| 17 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 86 | 17_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | 
| 18 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 55 | 18_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | 
| 19 | configpath - configs - config - configuration - modelconfigs | 49 | 19_configpath_configs_config_configuration | 
| 20 | amp - tf - electrapretrainedmodel - tflongformer - modelingelectra | 47 | 20_amp_tf_electrapretrainedmodel_tflongformer | 
| 21 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 39 | 21_wandbproject_wandb_wandbcallback_wandbdisabled | 
| 22 | cachedir - cache - cachedpath - caching - cached | 37 | 22_cachedir_cache_cachedpath_caching | 
| 23 | notebook - notebooks - community - blenderbot3b - blenderbot | 32 | 23_notebook_notebooks_community_blenderbot3b | 
| 24 | adamw - adam - adambetas - trainingargs - wip | 30 | 24_adamw_adam_adambetas_trainingargs | 
| 25 | pplm - pr - deprecated - variable - ppl | 24 | 25_pplm_pr_deprecated_variable | 
| 26 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf | 15 | 26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | 
| 27 | closed - licens - license - deleted - uss | 14 | 27_closed_licens_license_deleted | 
| 28 | isort - github - repo - version - setupcfg | 14 | 28_isort_github_repo_version |
  
</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: 1.26.4
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 2.2.2
* Scikit-Learn: 1.4.2
* Sentence-transformers: 2.7.0
* Transformers: 4.39.3
* Numba: 0.59.1
* Plotly: 5.21.0
* Python: 3.11.0