|
|
| --- |
| 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("FlorenceAndTheMachine/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 - tensorflow - pretrained - model - pytorch | 14 | -1_bert_tensorflow_pretrained_model | |
| | 0 | bertforsequenceclassification - bart - t5 - tokenizers - tokenizer | 2023 | 0_bertforsequenceclassification_bart_t5_tokenizers | |
| | 1 | trainertrain - trainer - pretrained - frompretrained - training | 1809 | 1_trainertrain_trainer_pretrained_frompretrained | |
| | 2 | s2s - seq2seqtrainer - seq2seq - examplesseq2seq - runseq2seqpy | 1258 | 2_s2s_seq2seqtrainer_seq2seq_examplesseq2seq | |
| | 3 | modelcard - modelcards - card - model - cards | 603 | 3_modelcard_modelcards_card_model | |
| | 4 | attributeerror - typeerror - valueerror - error - runmlmpy | 410 | 4_attributeerror_typeerror_valueerror_error | |
| | 5 | xlnet - xlnetmodel - xlnetlmheadmodel - xlarge - xlm | 360 | 5_xlnet_xlnetmodel_xlnetlmheadmodel_xlarge | |
| | 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 289 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | |
| | 7 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 279 | 7_readmemd_readmetxt_readme_file | |
| | 8 | typos - typo - fix - correction - fixed | 261 | 8_typos_typo_fix_correction | |
| | 9 | transformerscli - transformers - transformer - transformerxl - importerror | 245 | 9_transformerscli_transformers_transformer_transformerxl | |
| | 10 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 199 | 10_ner_pipeline_pipelines_nerpipeline | |
| | 11 | glue - gluepy - glueconvertexamplestofeatures - huggingfacetransformers - huggingfacemaster | 160 | 11_glue_gluepy_glueconvertexamplestofeatures_huggingfacetransformers | |
| | 12 | questionansweringpipeline - questionanswering - answering - tfalbertforquestionanswering - distilbertforquestionanswering | 157 | 12_questionansweringpipeline_questionanswering_answering_tfalbertforquestionanswering | |
| | 13 | logging - logs - log - onlog - logger | 136 | 13_logging_logs_log_onlog | |
| | 14 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 130 | 14_onnx_onnxonnxruntime_onnxexport_04onnxexport | |
| | 15 | benchmark - benchmarks - accuracy - evaluation - metrics | 86 | 15_benchmark_benchmarks_accuracy_evaluation | |
| | 16 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 84 | 16_labelsmoothednllloss_labelsmoothingfactor_label_labels | |
| | 17 | longformer - longformers - longform - longformerforqa - longformerlayer | 83 | 17_longformer_longformers_longform_longformerforqa | |
| | 18 | generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch | 77 | 18_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch | |
| | 19 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 60 | 19_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc | |
| | 20 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 48 | 20_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
| | 21 | cachedir - cache - cachedpath - caching - cached | 42 | 21_cachedir_cache_cachedpath_caching | |
| | 22 | notebook - notebooks - community - sagemakertrainer - documentation | 37 | 22_notebook_notebooks_community_sagemakertrainer | |
| | 23 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 34 | 23_wandbproject_wandb_wandbcallback_wandbdisabled | |
| | 24 | add - bort - added - py7zr - update | 33 | 24_add_bort_added_py7zr | |
| | 25 | electra - electraformaskedlm - electraformultiplechoice - electrafortokenclassification - electraforsequenceclassification | 30 | 25_electra_electraformaskedlm_electraformultiplechoice_electrafortokenclassification | |
| | 26 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 19 | 26_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | |
| | 27 | isort - blackisortflake8 - dependencies - github - matplotlib | 17 | 27_isort_blackisortflake8_dependencies_github | |
| | 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 |
| |
| ## Framework versions |
| |
| * Numpy: 1.23.5 |
| * HDBSCAN: 0.8.33 |
| * UMAP: 0.5.3 |
| * Pandas: 1.5.3 |
| * Scikit-Learn: 1.2.2 |
| * Sentence-transformers: 2.2.2 |
| * Transformers: 4.33.0 |
| * Numba: 0.56.4 |
| * Plotly: 5.15.0 |
| * Python: 3.10.12 |
| |
