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("sweetapplee/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 | bert - tokenizer - tokenizers - pretrained - pytorch | 16 | -1_bert_tokenizer_tokenizers_pretrained |
| 0 | tokenization - tokenizer - tokenizers - token - tokens | 2184 | 0_tokenization_tokenizer_tokenizers_token |
| 1 | tf - tpu - t5 - tftrainer - onnx | 1761 | 1_tf_tpu_t5_tftrainer |
| 2 | modelcard - modelcards - card - model - cards | 939 | 2_modelcard_modelcards_card_model |
| 3 | importerror - attributeerror - valueerror - typeerror - runmlmpy | 486 | 3_importerror_attributeerror_valueerror_typeerror |
| 4 | doc - docstring - docstrings - docs - document | 449 | 4_doc_docstring_docstrings_docs |
| 5 | albertforpretraining - xlnet - albertbasev2 - albertformaskedlm - xlnetlmheadmodel | 400 | 5_albertforpretraining_xlnet_albertbasev2_albertformaskedlm |
| 6 | gpt2 - gpt2tokenizer - gpt2xl - gpt - gpt2tokenizerfast | 348 | 6_gpt2_gpt2tokenizer_gpt2xl_gpt |
| 7 | readmemd - readmetxt - readme - file - camembertbasereadmemd | 273 | 7_readmemd_readmetxt_readme_file |
| 8 | s2s - s2sdistill - s2t - s2strainer - exampless2s | 260 | 8_s2s_s2sdistill_s2t_s2strainer |
| 9 | longformer - longformers - longformerformultiplechoice - longformertokenizerfast - globalattentionmask | 216 | 9_longformer_longformers_longformerformultiplechoice_longformertokenizerfast |
| 10 | transformerscli - transformers - transformer - importerror - transformerxl | 194 | 10_transformerscli_transformers_transformer_importerror |
| 11 | tests - testing - slow - test - faster | 187 | 11_tests_testing_slow_test |
| 12 | cuda - cuda0 - memory - ram - gpus | 159 | 12_cuda_cuda0_memory_ram |
| 13 | pipeline - pipelines - ner - nerpipeline - featureextractionpipeline | 145 | 13_pipeline_pipelines_ner_nerpipeline |
| 14 | questionansweringpipeline - longformerforquestionanswering - answering - questionanswering - distilbertforquestionanswering | 144 | 14_questionansweringpipeline_longformerforquestionanswering_answering_questionanswering |
| 15 | trainertrain - trainer - loggingstrategy - logging - training | 139 | 15_trainertrain_trainer_loggingstrategy_logging |
| 16 | benchmark - benchmarks - accuracy - precision - comparison | 139 | 16_benchmark_benchmarks_accuracy_precision |
| 17 | labelsmoothednllloss - label - labelsmoothingfactor - labels - labelsmoothing | 75 | 17_labelsmoothednllloss_label_labelsmoothingfactor_labels |
| 18 | huggingfacemaster - huggingfacetokenizers297 - huggingface - huggingfaces - huggingfacetransformers | 74 | 18_huggingfacemaster_huggingfacetokenizers297_huggingface_huggingfaces |
| 19 | generationbeamsearchpy - generatebeamsearch - beamsearch - nonbeamsearch - beam | 73 | 19_generationbeamsearchpy_generatebeamsearch_beamsearch_nonbeamsearch |
| 20 | wav2vec2 - wav2vec - wav2vec20 - wav2vec2forctc - wav2vec2xlrswav2vec2 | 59 | 20_wav2vec2_wav2vec_wav2vec20_wav2vec2forctc |
| 21 | flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel | 52 | 21_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax |
| 22 | notebook - notebooks - notebookprogresscallback - community - colab | 51 | 22_notebook_notebooks_notebookprogresscallback_community |
| 23 | wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue | 40 | 23_wandbproject_wandb_wandbcallback_wandbdisabled |
| 24 | cachedir - cache - cachedpath - caching - cached | 34 | 24_cachedir_cache_cachedpath_caching |
| 25 | closed - add - bort - added - deleted | 33 | 25_closed_add_bort_added |
| 26 | electra - electrapretrainedmodel - electraformaskedlm - electralarge - electraformultiplechoice | 26 | 26_electra_electrapretrainedmodel_electraformaskedlm_electralarge |
| 27 | layoutlm - layout - layoutlmtokenizer - layoutlmbaseuncased - tf | 26 | 27_layoutlm_layout_layoutlmtokenizer_layoutlmbaseuncased |
| 28 | isort - blackisortflake8 - github - repo - version | 18 | 28_isort_blackisortflake8_github_repo |
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: 0.5.4
- Pandas: 1.5.3
- Scikit-Learn: 1.2.2
- Sentence-transformers: 2.2.2
- Transformers: 4.34.1
- Numba: 0.56.4
- Plotly: 5.15.0
- Python: 3.10.12
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