transformers_issues_topics
This is a 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:
from bertopic import BERTopic
topic_model = BERTopic.load("mark230271/transformers_issues_topics")
topic_model.get_topic_info()
Topic overview
- Number of topics: 30
- Number of training documents: 9000
Click here for an overview of all topics.
Topic ID | Topic Keywords | Topic Frequency | Label |
---|---|---|---|
-1 | tokenizer - bert - tokenizers - pytorch - tensorflow | 11 | -1_tokenizer_bert_tokenizers_pytorch |
0 | tokenizer - tokenizers - tokenization - berttokenizer - bart | 2376 | 0_tokenizer_tokenizers_tokenization_berttokenizer |
1 | cuda - gpt2 - gpt - gpus - gpu | 1879 | 1_cuda_gpt2_gpt_gpus |
2 | modelcard - modelcards - card - model - models | 735 | 2_modelcard_modelcards_card_model |
3 | transformerscli - transformers - transformer - transformerxl - importerror | 412 | 3_transformerscli_transformers_transformer_transformerxl |
4 | typeerror - attributeerror - valueerror - error - errors | 385 | 4_typeerror_attributeerror_valueerror_error |
5 | trainertrain - trainer - trainerevaluate - trainers - training | 330 | 5_trainertrain_trainer_trainerevaluate_trainers |
6 | seq2seq - seq2seqtrainer - s2s - runseq2seq - seq2seqdataset | 319 | 6_seq2seq_seq2seqtrainer_s2s_runseq2seq |
7 | typos - typo - fix - correction - fixed | 306 | 7_typos_typo_fix_correction |
8 | ci - testing - test - tests - circleci | 282 | 8_ci_testing_test_tests |
9 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 255 | 9_readmemd_readmetxt_readme_file |
10 | t5 - t5model - tf - t5base - t5large | 255 | 10_t5_t5model_tf_t5base |
11 | generationbeamsearchpy - beamsearch - groupbeamsearch - beam - search | 218 | 11_generationbeamsearchpy_beamsearch_groupbeamsearch_beam |
12 | flax - distilbertmodel - flaubert - deberta - model | 185 | 12_flax_distilbertmodel_flaubert_deberta |
13 | ner - pipeline - pipelines - nerpipeline - fillmaskpipeline | 177 | 13_ner_pipeline_pipelines_nerpipeline |
14 | questionansweringpipeline - tfalbertforquestionanswering - questionanswering - distilbertforquestionanswering - answering | 161 | 14_questionansweringpipeline_tfalbertforquestionanswering_questionanswering_distilbertforquestionanswering |
15 | huggingfacetransformers - huggingface - hugging - gluepy - gluebenchmarkcom | 133 | 15_huggingfacetransformers_huggingface_hugging_gluepy |
16 | onnx - onnxonnxruntime - onnxexport - 04onnxexport - 04onnxexportipynb | 130 | 16_onnx_onnxonnxruntime_onnxexport_04onnxexport |
17 | labelsmoothednllloss - labelsmoothingfactor - label - labels - labelsmoothing | 96 | 17_labelsmoothednllloss_labelsmoothingfactor_label_labels |
18 | longformer - longformers - longform - longformerlayer - longformermodel | 73 | 18_longformer_longformers_longform_longformerlayer |
19 | configpath - configs - config - configuration - modelconfigs | 59 | 19_configpath_configs_config_configuration |
20 | wandbproject - wandb - sagemaker - sagemakertrainer - wandbcallback | 45 | 20_wandbproject_wandb_sagemaker_sagemakertrainer |
21 | cachedir - cache - cachedpath - caching - cached | 33 | 21_cachedir_cache_cachedpath_caching |
22 | notebook - notebooks - community - colab - t5 | 33 | 22_notebook_notebooks_community_colab |
23 | electra - electrapretrainedmodel - electraformaskedlm - electraformultiplechoice - electrafortokenclassification | 30 | 23_electra_electrapretrainedmodel_electraformaskedlm_electraformultiplechoice |
24 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 24 | 24_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased |
25 | isort - blackisortflake8 - github - repo - version | 18 | 25_isort_blackisortflake8_github_repo |
26 | pplm - pr - deprecated - variable - ppl | 14 | 26_pplm_pr_deprecated_variable |
27 | indexerror - index - missingindex - indices - runtimeerror | 14 | 27_indexerror_index_missingindex_indices |
28 | ga - fork - forks - forked - push | 12 | 28_ga_fork_forks_forked |
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
- zeroshot_min_similarity: 0.7
- zeroshot_topic_list: None
Framework versions
- Numpy: 1.25.2
- HDBSCAN: 0.8.33
- UMAP: 0.5.6
- Pandas: 2.0.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.6.1
- Transformers: 4.38.2
- Numba: 0.58.1
- Plotly: 5.15.0
- Python: 3.10.12
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