language: en
tags:
- token-classification
- NER
- Biomedical
- Chemicals
datasets:
- BC5CDR-chemicals
- BC4CHEMD
license: apache-2.0
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Model Card for biobert Chemical NER
Model Details
Model Description
BioBERT model fine-tuned in NER task with BC5CDR-chemicals and BC4CHEMD corpus.
- Developed by: librAIry
- Shared by [Optional]: Alvaro A
- Model type: Token Classification
- Language(s) (NLP): More information needed
- License: Apache 2.0
- Parent Model: NER
- Resources for more information:
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Uses
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Direct Use
This model can be used for the task of model is lost/undocumented. It was fine-tuned in order to use it in a BioNER/BioNEN system which is available at the GitHub Repo
Downstream Use [Optional]
More information needed.
Out-of-Scope Use
The model should not be used to intentionally create hostile or alienating environments for people.
Bias, Risks, and Limitations
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. β β β
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. β
Training Details
Training Data
More information needed
Training Procedure
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Preprocessing
More information needed
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Speeds, Sizes, Times
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Evaluation
Testing Data, Factors & Metrics
Testing Data
More information needed
Factors
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Metrics
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Results
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Model Examination
More information needed
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: More information needed
- Fine-tuning process: was done in Google Collab using a TPU.
- Hours used: More information needed
- Cloud Provider: More information needed
- Compute Region: More information needed
- Carbon Emitted: More information needed
Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
More information needed.
Citation
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BibTeX:
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Glossary [optional]
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More Information [optional]
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Model Card Authors [optional]
Alvaro A in collaboration with Ezi Ozoani and the Hugging Face team β β
Model Card Contact
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How to Get Started with the Model
Use the code below to get started with the model.