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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("flumboyantApple/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 | bert - pytorch - tensorflow - pretrained - gpu | 12 | -1_bert_pytorch_tensorflow_pretrained | |
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| 0 | tokenizer - tokenizers - tokenization - tokenize - encoderdecoder | 2279 | 0_tokenizer_tokenizers_tokenization_tokenize | |
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| 1 | cuda - pytorch - tensorflow - gpu - gpus | 1830 | 1_cuda_pytorch_tensorflow_gpu | |
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| 2 | modelcard - modelcards - card - model - cards | 887 | 2_modelcard_modelcards_card_model | |
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| 3 | seq2seq - s2s - seq2seqtrainer - seq2seqdataset - runseq2seq | 451 | 3_seq2seq_s2s_seq2seqtrainer_seq2seqdataset | |
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| 4 | trainer - trainertrain - trainers - training - evaluateduringtraining | 445 | 4_trainer_trainertrain_trainers_training | |
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| 5 | albertbasev2 - albertforpretraining - albert - albertformaskedlm - albertmodel | 435 | 5_albertbasev2_albertforpretraining_albert_albertformaskedlm | |
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| 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt | 347 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast | |
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| 7 | typos - typo - fix - correction - fixed | 278 | 7_typos_typo_fix_correction | |
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| 8 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 274 | 8_readmemd_readmetxt_readme_file | |
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| 9 | t5 - t5model - tf - t5base - t5large | 259 | 9_t5_t5model_tf_t5base | |
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| 10 | transformerscli - transformers - transformer - importerror - import | 228 | 10_transformerscli_transformers_transformer_importerror | |
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| 11 | ci - testing - tests - testgeneratefp16 - test | 198 | 11_ci_testing_tests_testgeneratefp16 | |
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| 12 | longformerforquestionanswering - questionansweringpipeline - tfalbertforquestionanswering - distilbertforquestionanswering - questionanswering | 142 | 12_longformerforquestionanswering_questionansweringpipeline_tfalbertforquestionanswering_distilbertforquestionanswering | |
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| 13 | pipeline - pipelines - ner - fixpipeline - nerpipeline | 140 | 13_pipeline_pipelines_ner_fixpipeline | |
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| 14 | longformer - longformers - longform - longformerlayer - longformermodel | 136 | 14_longformer_longformers_longform_longformerlayer | |
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| 15 | benchmark - benchmarks - accuracy - precision - hardcoded | 113 | 15_benchmark_benchmarks_accuracy_precision | |
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| 16 | onnx - onnxexport - onnxonnxruntime - onnxruntime - 04onnxexport | 77 | 16_onnx_onnxexport_onnxonnxruntime_onnxruntime | |
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| 17 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 76 | 17_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch | |
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| 18 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 75 | 18_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax | |
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| 19 | datacollatorforlanguagemodelingfile - datacollatorforlanguagemodeling - datacollatorforlanguagemodelling - datacollatorforpermutationlanguagemodeling - runlanguagemodelingpy | 49 | 19_datacollatorforlanguagemodelingfile_datacollatorforlanguagemodeling_datacollatorforlanguagemodelling_datacollatorforpermutationlanguagemodeling | |
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| 20 | huggingfacetokenizers297 - huggingfacetransformers - huggingface - huggingfaces - huggingfacecn | 43 | 20_huggingfacetokenizers297_huggingfacetransformers_huggingface_huggingfaces | |
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| 21 | cachedir - cache - cachedpath - caching - cached | 43 | 21_cachedir_cache_cachedpath_caching | |
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| 22 | notebook - notebooks - blenderbot3b - community - blenderbot | 35 | 22_notebook_notebooks_blenderbot3b_community | |
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| 23 | wandbproject - ga - wandbcallback - wandb - fork | 33 | 23_wandbproject_ga_wandbcallback_wandb | |
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| 24 | closed - adding - add - bort - added | 32 | 24_closed_adding_add_bort | |
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| 25 | electra - electrapretrainedmodel - electraformaskedlm - electralarge - electraformultiplechoice | 27 | 25_electra_electrapretrainedmodel_electraformaskedlm_electralarge | |
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| 26 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 23 | 26_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased | |
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| 27 | pplm - pr - deprecated - variable - ppl | 18 | 27_pplm_pr_deprecated_variable | |
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| 28 | isort - blackisortflake8 - github - repo - version | 15 | 28_isort_blackisortflake8_github_repo | |
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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: 1.23.3 |
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* HDBSCAN: 0.8.38.post1 |
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* UMAP: 0.5.6 |
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* Pandas: 1.5.3 |
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* Scikit-Learn: 1.1.2 |
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* Sentence-transformers: 3.0.1 |
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* Transformers: 4.44.1 |
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* Numba: 0.60.0 |
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* Plotly: 5.10.0 |
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* Python: 3.9.18 |
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