Spam-oriented text classifier
The repository identity and text-classification pipeline indicate an email-spam-detection RoBERTa sequence-classification model.
Open Source Model Profile · dima806
email-spam-detection-roberta
email-spam-detection-roberta is a 124.65M-parameter RoBERTa text classifier from dima806 for email spam detection workflows.
- Publisher
- dima806
- Task
- text-classification
- Model type
- roberta
- License
- apache-2.0
- Library
- transformers
- Publication status
- Accepted · not indexed
Model overview
email-spam-detection-roberta is published by dima806 as a text-classification model. The captured configuration identifies RobertaForSequenceClassification with model type roberta and 124,647,170 parameters. Hub tags list FacebookAI/roberta-base as the base-model and finetune source.
Recorded capabilities
RoBERTa-base lineage tags
Hub tags list FacebookAI/roberta-base as base model and finetune source, with a 124,647,170-parameter Safetensors record.
External Kaggle reference
The model card points to a Kaggle notebook for more details rather than documenting training or evaluation in the captured text.
Use cases in the source record
- Email spam classification workflows consistent with the repository name and text-classification task.
- Transformers sequence-classification experiments built on the listed roberta-base lineage.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No training details beyond the base-model tags and external Kaggle pointer were extracted.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: dima806/email-spam-detection-roberta
Captured: Unknown. Processed: 2026-09-07T19:34:43.582711+00:00.
See https://www.kaggle.com/code/dima806/email-spam-classification-roberta for more details.
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