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("FelipeSarmento/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 - model - input - models - layer	11	-1_bert_model_input_models
0	encoderdecoder - encoderdecodermodel - encoder - decoder - tokenizers	2113	0_encoderdecoder_encoderdecodermodel_encoder_decoder
1	trainertrain - trainer - trainingarguments - pytorch - training	1753	1_trainertrain_trainer_trainingarguments_pytorch
2	importerror - attributeerror - valueerror - typeerror - indexerror	1248	2_importerror_attributeerror_valueerror_typeerror
3	modelcard - modelcards - card - model - models	472	3_modelcard_modelcards_card_model
4	doc - typos - docstring - docs - typo	458	4_doc_typos_docstring_docs
5	xlnetmodel - xlnet - xlnetlmheadmodel - xlm - xlarge	358	5_xlnetmodel_xlnet_xlnetlmheadmodel_xlm
6	gpt2 - gpt2tokenizer - gpt2xl - gpt2tokenizerfast - gpt	301	6_gpt2_gpt2tokenizer_gpt2xl_gpt2tokenizerfast
7	readmemd - modelcard - readmetxt - readme - file	278	7_readmemd_modelcard_readmetxt_readme
8	ci - testing - tests - speedup - slow	262	8_ci_testing_tests_speedup
9	transformerscli - transformers - transformer - transformerxl - importerror	245	9_transformerscli_transformers_transformer_transformerxl
10	s2s - s2t - s2sdistill - s2strainer - exampless2s	238	10_s2s_s2t_s2sdistill_s2strainer
11	trainertrain - trainer - logging - training - feattrainer	212	11_trainertrain_trainer_logging_training
12	questionansweringpipeline - distilbertforquestionanswering - answering - questionanswering - tfalbertforquestionanswering	139	12_questionansweringpipeline_distilbertforquestionanswering_answering_questionanswering
13	ner - pipeline - pipelines - nerpipeline - fixpipeline	127	13_ner_pipeline_pipelines_nerpipeline
14	longformer - longformers - longform - longformerforqa - longformerlayer	126	14_longformer_longformers_longform_longformerforqa
15	label - labelsmoothingfactor - labels - labelsmoothing - labellist	116	15_label_labelsmoothingfactor_labels_labelsmoothing
16	onnxonnxruntime - onnx - onnxexport - 04onnxexport - 04onnxexportipynb	101	16_onnxonnxruntime_onnx_onnxexport_04onnxexport
17	generationbeamsearchpy - generatebeamsearch - generatebeamsearchoutputs - beamsearch - nonbeamsearch	86	17_generationbeamsearchpy_generatebeamsearch_generatebeamsearchoutputs_beamsearch
18	flax - flaxelectraformaskedlm - flaxelectraforpretraining - flaxjax - flaxelectramodel	55	18_flax_flaxelectraformaskedlm_flaxelectraforpretraining_flaxjax
19	configpath - configs - config - configuration - modelconfigs	49	19_configpath_configs_config_configuration
20	amp - tf - electrapretrainedmodel - tflongformer - modelingelectra	47	20_amp_tf_electrapretrainedmodel_tflongformer
21	wandbproject - wandb - wandbcallback - wandbdisabled - wandbdisabledtrue	39	21_wandbproject_wandb_wandbcallback_wandbdisabled
22	cachedir - cache - cachedpath - caching - cached	37	22_cachedir_cache_cachedpath_caching
23	notebook - notebooks - community - blenderbot3b - blenderbot	32	23_notebook_notebooks_community_blenderbot3b
24	adamw - adam - adambetas - trainingargs - wip	30	24_adamw_adam_adambetas_trainingargs
25	pplm - pr - deprecated - variable - ppl	24	25_pplm_pr_deprecated_variable
26	layoutlm - layoutlmtokenizer - layout - layoutlmbaseuncased - tf	15	26_layoutlm_layoutlmtokenizer_layout_layoutlmbaseuncased
27	closed - licens - license - deleted - uss	14	27_closed_licens_license_deleted
28	isort - github - repo - version - setupcfg	14	28_isort_github_repo_version

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: 1.26.4
• HDBSCAN: 0.8.33
• UMAP: 0.5.5
• Pandas: 2.2.2
• Scikit-Learn: 1.4.2
• Sentence-transformers: 2.7.0
• Transformers: 4.39.3
• Numba: 0.59.1
• Plotly: 5.21.0
• Python: 3.11.0