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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("noumanjavaid/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: 9000 |
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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 | models - bert - model - tensorflow - tokenizers | 14 | -1_models_bert_model_tensorflow | |
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| 0 | tokenizer - tokenizers - tokenization - token - tokens | 2078 | 0_tokenizer_tokenizers_tokenization_token | |
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| 1 | pytorch - tensorflow - modelingutilspy - attributeerror - runtimeerror | 1886 | 1_pytorch_tensorflow_modelingutilspy_attributeerror | |
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| 2 | trainertrain - trainer - trainers - training - evaluateduringtraining | 696 | 2_trainertrain_trainer_trainers_training | |
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| 3 | summarization - summaries - summary - examples - sentencepiece | 636 | 3_summarization_summaries_summary_examples | |
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| 4 | gpt2tokenizer - gpt2 - gpt2tokenizerfast - gpt2model - gpt | 452 | 4_gpt2tokenizer_gpt2_gpt2tokenizerfast_gpt2model | |
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| 5 | modelcard - modelcards - card - model - models | 451 | 5_modelcard_modelcards_card_model | |
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| 6 | typos - typo - fix - correction - fixed | 446 | 6_typos_typo_fix_correction | |
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| 7 | readmemd - readmetxt - readme - modelcard - file | 284 | 7_readmemd_readmetxt_readme_modelcard | |
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| 8 | t5 - t5model - t5base - tf - t5large | 256 | 8_t5_t5model_t5base_tf | |
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| 9 | longformer - longformers - longformerformultiplechoice - longformertokenizerfast - attentions | 254 | 9_longformer_longformers_longformerformultiplechoice_longformertokenizerfast | |
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| 10 | seq2seq - seq2seqtrainer - seq2seqdataset - seq2seqfinetunepy - runseq2seq | 223 | 10_seq2seq_seq2seqtrainer_seq2seqdataset_seq2seqfinetunepy | |
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| 11 | pipeline - pipelines - ner - pipelinesentimentanalysis - nerpipeline | 209 | 11_pipeline_pipelines_ner_pipelinesentimentanalysis | |
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| 12 | ci - testing - tests - test - testgeneratefp16 | 175 | 12_ci_testing_tests_test | |
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| 13 | deprecate - deprecation - deprecated - warnings - warning | 136 | 13_deprecate_deprecation_deprecated_warnings | |
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| 14 | onnxonnxruntime - onnx - 04onnxexport - 04onnxexportipynb - benchmarkonnxexport | 129 | 14_onnxonnxruntime_onnx_04onnxexport_04onnxexportipynb | |
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| 15 | datacollatorforlanguagemodelingfile - datacollatorforlanguagemodeling - datacollatorforlanguagemodelling - datacollatorforpermutationlanguagemodeling - labelsmoothingfactor | 100 | 15_datacollatorforlanguagemodelingfile_datacollatorforlanguagemodeling_datacollatorforlanguagemodelling_datacollatorforpermutationlanguagemodeling | |
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| 16 | deberta - debertav2 - debertav2initpy - debertatokenizer - debertav2xxlargemnli | 73 | 16_deberta_debertav2_debertav2initpy_debertatokenizer | |
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| 17 | benchmark - benchmarking - benchmarks - comparison - results | 63 | 17_benchmark_benchmarking_benchmarks_comparison | |
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| 18 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 61 | 18_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | |
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| 19 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 56 | 19_wandbproject_wandb_wandbcallback_wandbdisabled | |
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| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 54 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | |
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| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 49 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
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| 22 | configpath - configs - config - configuration - modelconfigs | 49 | 22_configpath_configs_config_configuration | |
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| 23 | logging - logs - log - logger - loggingfirststep | 45 | 23_logging_logs_log_logger | |
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| 24 | cachedir - cache - cachedpath - caching - cached | 34 | 24_cachedir_cache_cachedpath_caching | |
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| 25 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 34 | 25_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | |
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| 26 | layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf | 23 | 26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased | |
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| 27 | dict - dictstr - returndict - parse - arguments | 17 | 27_dict_dictstr_returndict_parse | |
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| 28 | pplm - pr - deprecated - variable - ppl | 17 | 28_pplm_pr_deprecated_variable | |
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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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* zeroshot_min_similarity: 0.7 |
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* zeroshot_topic_list: None |
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## Framework versions |
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* Numpy: 1.25.2 |
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* HDBSCAN: 0.8.37 |
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* UMAP: 0.5.6 |
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* Pandas: 2.0.3 |
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* Scikit-Learn: 1.2.2 |
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* Sentence-transformers: 3.0.1 |
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* Transformers: 4.41.2 |
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* Numba: 0.58.1 |
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* Plotly: 5.15.0 |
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* Python: 3.10.12 |
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