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--- |
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tags: |
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- bertopic |
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library_name: bertopic |
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pipeline_tag: text-classification |
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--- |
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# transformers_issues_topics |
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This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. |
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BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. |
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## Usage |
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To use this model, please install BERTopic: |
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``` |
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pip install -U bertopic |
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``` |
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You can use the model as follows: |
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```python |
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from bertopic import BERTopic |
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topic_model = BERTopic.load("davanstrien/transformers_issues_topics") |
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topic_model.get_topic_info() |
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``` |
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## Topic overview |
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* Number of topics: 30 |
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* Number of training documents: 7235 |
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<details> |
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<summary>Click here for an overview of all topics.</summary> |
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| Topic ID | Topic Keywords | Topic Frequency | Label | |
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|----------|----------------|-----------------|-------| |
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| -1 | encoder - bert - tensorflow - decoder - output | 11 | -1_encoder_bert_tensorflow_decoder | |
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| 0 | tokenizer - tokenizers - tokenization - tokenize - berttokenizer | 2265 | 0_tokenizer_tokenizers_tokenization_tokenize | |
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| 1 | cuda - runtimeerror - conda - pytorch - tensorflow | 1513 | 1_cuda_runtimeerror_conda_pytorch | |
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| 2 | readmemd - readmetxt - readme - docstring - docstrings | 763 | 2_readmemd_readmetxt_readme_docstring | |
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| 3 | trainertrain - trainer - trainertfpy - trainers - training | 550 | 3_trainertrain_trainer_trainertfpy_trainers | |
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| 4 | rag - roberta - robertatokenizer - robertatokenizerfast - robertabase | 546 | 4_rag_roberta_robertatokenizer_robertatokenizerfast | |
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| 5 | modelcard - modelcards - card - model - cards | 473 | 5_modelcard_modelcards_card_model | |
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| 6 | importerror - transformerscli - transformers - transformerxl - transformer | 432 | 6_importerror_transformerscli_transformers_transformerxl | |
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| 7 | seq2seq - seq2seqtrainer - seq2seqdataset - runseq2seq - examplesseq2seq | 405 | 7_seq2seq_seq2seqtrainer_seq2seqdataset_runseq2seq | |
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| 8 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 365 | 8_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | |
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| 9 | t5 - t5model - t5base - t5large - tf | 289 | 9_t5_t5model_t5base_t5large | |
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| 10 | tests - testing - speedup - test - testgeneratefp16 | 230 | 10_tests_testing_speedup_test | |
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| 11 | questionansweringpipeline - questionanswering - answering - questionasnwering - distilbertforquestionanswering | 138 | 11_questionansweringpipeline_questionanswering_answering_questionasnwering | |
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| 12 | ner - pipeline - pipelinener - pipelines - pipelineframework | 138 | 12_ner_pipeline_pipelinener_pipelines | |
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| 13 | deberta - debertav2 - debertav2initpy - debertatokenizer - distilbertmodel | 132 | 13_deberta_debertav2_debertav2initpy_debertatokenizer | |
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| 14 | onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb | 110 | 14_onnxonnxruntime_onnx_onnxexport_04onnxexport | |
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| 15 | benchmark - benchmarks - accuracy - precision - comparison | 85 | 15_benchmark_benchmarks_accuracy_precision | |
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| 16 | labelsmoothingfactor - labelsmoothednllloss - labelsmoothing - labels - label | 79 | 16_labelsmoothingfactor_labelsmoothednllloss_labelsmoothing_labels | |
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| 17 | longformer - longformers - longform - longformerforqa - longformerlayer | 71 | 17_longformer_longformers_longform_longformerforqa | |
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| 18 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 60 | 18_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch | |
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| 19 | cachedir - cache - cachedpath - caching - cached | 58 | 19_cachedir_cache_cachedpath_caching | |
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| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 56 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | |
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| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 52 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
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| 22 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 49 | 22_wandbproject_wandb_wandbcallback_wandbdisabled | |
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| 23 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 38 | 23_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | |
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| 24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | |
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| 25 | notebook - notebooks - community - text - multilabel | 18 | 25_notebook_notebooks_community_text | |
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| 26 | dict - dictstr - returndict - parse - arguments | 18 | 26_dict_dictstr_returndict_parse | |
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| 27 | pplm - pr - deprecated - variable - ppl | 17 | 27_pplm_pr_deprecated_variable | |
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| 28 | isort - github - repo - version - setupcfg | 15 | 28_isort_github_repo_version | |
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</details> |
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## Training hyperparameters |
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* calculate_probabilities: False |
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* language: english |
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* low_memory: False |
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* min_topic_size: 10 |
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* n_gram_range: (1, 1) |
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* nr_topics: 30 |
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* seed_topic_list: None |
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* top_n_words: 10 |
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* verbose: True |
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## Framework versions |
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* Numpy: 1.22.4 |
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* HDBSCAN: 0.8.29 |
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* 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: 4.29.2 |
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* Numba: 0.56.4 |
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* Plotly: 5.13.1 |
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* Python: 3.10.11 |
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