Annotator_1_Mi
Overview
Annotator_1_Mi is the First LLM for semantic tabular data annotation
Model Details
Model Description
Annotator_1_Mi is a Decoder-based LM fine-tuned from
Mistravl-7B-v0.1
- Developed by: tsotsa
- Model type: Decoder
- Language(s) (NLP): Semantic annotation for tabular data
- License: Apache 2.0
- Finetuned from model: Mistravl-7B-v0.1
Licence
Annotator_1_Mi is developed under Apache 2.0 licence
Uses
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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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.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
Metrics
- Recall
- Precision
- F1 Score
Results
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Summary
Model Examination [optional]
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Environmental Impact
bon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
- Environment: Google collab
- GPU Type: T4 with 15 Go
- Hours used: 100.4 min
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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BibTeX:
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APA:
Model Card Contact
Framework versions
