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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("asoria/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 | pytorch - tensorflow - bert - tf - pretrained | 15 | -1_pytorch_tensorflow_bert_tf | |
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| 0 | bert - bertforsequenceclassification - berttokenizer - bart - batchencodeplus | 2321 | 0_bert_bertforsequenceclassification_berttokenizer_bart | |
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| 1 | cuda - memory - trainertrain - tensorflow - trainer | 1554 | 1_cuda_memory_trainertrain_tensorflow | |
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| 2 | transformerscli - transformers - transformer - importerror - transformerxl | 882 | 2_transformerscli_transformers_transformer_importerror | |
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| 3 | modelcard - modelcards - card - model - models | 490 | 3_modelcard_modelcards_card_model | |
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| 4 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt2model | 462 | 4_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | |
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| 5 | attributeerror - typeerror - valueerror - runtimeerror - indexerror | 437 | 5_attributeerror_typeerror_valueerror_runtimeerror | |
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| 6 | typos - typo - doc - docstring - fix | 336 | 6_typos_typo_doc_docstring | |
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| 7 | t5 - t5model - t5base - tf - t5large | 298 | 7_t5_t5model_t5base_tf | |
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| 8 | readmemd - readmetxt - readme - modelcard - file | 270 | 8_readmemd_readmetxt_readme_modelcard | |
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| 9 | ci - testing - tests - test - speedup | 254 | 9_ci_testing_tests_test | |
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| 10 | s2s - s2sdistill - s2t - s2strainer - exampless2s | 245 | 10_s2s_s2sdistill_s2t_s2strainer | |
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| 11 | glue - gluepy - glueconvertexamplestofeatures - roberta - huggingfacetransformers | 214 | 11_glue_gluepy_glueconvertexamplestofeatures_roberta | |
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| 12 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 158 | 12_ner_pipeline_pipelines_nerpipeline | |
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| 13 | rag - ragtokenforgeneration - ragsequenceforgeneration - clean - tests | 153 | 13_rag_ragtokenforgeneration_ragsequenceforgeneration_clean | |
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| 14 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - questionasnwering | 143 | 14_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | |
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| 15 | onnx - 04onnxexport - 04onnxexportipynb - aionnx - sphynx | 131 | 15_onnx_04onnxexport_04onnxexportipynb_aionnx | |
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| 16 | longformer - longformers - longform - longformerlayer - longformermodel | 104 | 16_longformer_longformers_longform_longformerlayer | |
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| 17 | labelsmoothednllloss - label - labelsmoothingfactor - labels - labelsmoothing | 76 | 17_labelsmoothednllloss_label_labelsmoothingfactor_labels | |
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| 18 | benchmark - benchmarking - benchmarks - accuracy - evaluation | 73 | 18_benchmark_benchmarking_benchmarks_accuracy | |
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| 19 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 67 | 19_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | |
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| 20 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 51 | 20_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
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| 21 | configpath - configs - config - configuration - modelconfigs | 49 | 21_configpath_configs_config_configuration | |
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| 22 | logging - logs - log - logger - loghistory | 40 | 22_logging_logs_log_logger | |
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| 23 | cachedir - cache - cachedpath - caching - cached | 38 | 23_cachedir_cache_cachedpath_caching | |
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| 24 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 36 | 24_wandbproject_wandb_sagemaker_sagemakertrainer | |
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| 25 | notebook - notebooks - community - colab - t5 | 33 | 25_notebook_notebooks_community_colab | |
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| 26 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 30 | 26_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice | |
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| 27 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 25 | 27_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | |
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| 28 | pplm - pr - deprecated - variable - ppl | 15 | 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: 1.26.4 |
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* HDBSCAN: 0.8.38.post1 |
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* UMAP: 0.5.6 |
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* Pandas: 2.1.4 |
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* Scikit-Learn: 1.5.2 |
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* Sentence-transformers: 3.1.1 |
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* Transformers: 4.44.2 |
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* Numba: 0.60.0 |
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* Plotly: 5.24.1 |
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* Python: 3.10.12 |
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