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SMM4H2024_Task1_roberta
yseop/SMM4H2024_Task1_roberta
SMM4H2024_Task1_roberta is a token classification model from yseop. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as afl-3.0.
This is a NER model created by fine-tuning FacebookAI/roberta-base on SMM4H 2024 Task 1 corpus.
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496 MB on disk
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- afl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 27, 2024
- Updated
- Aug 8, 2024
- SHA
- 0d942fbb
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Model card
From the Hugging Face model README
SMM4H-2024 Task 1: Adverse Drug Events Detection
Overview
This is a NER model created by fine-tuning FacebookAI/roberta-base on SMM4H 2024 Task 1 corpus.
Results
| F1-Norm | 40 |
| P-Norm | 39.6 |
| R-Norm | 40.4 |
| F1-NER | 47.2 |
| P-NER | 47 |
| R-NER | 47.5 |
| F1-Norm-Unseen | 29.5 |
| P-Norm-Unseen | 23.2 |
| R-Norm-Unseen | 40.6 |
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- afl-3.0
- Languages
- en
- Created
- Jun 27, 2024
- Updated
- Aug 8, 2024