Model Card for Model ID

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

The model is fined tuned from a Swedish model with 300 million parameters trained by the Swedish Royal Library.

Developed by: The SCRIBE project https://scribe-project.github.io/
Shared by [optional]: The SCRIBE project https://scribe-project.github.io/
Model type: wav2vec2
Language(s) (NLP): Norwegian
License: Apache 2.0
Finetuned from model [optional]: KBLab/wav2vec2-large-voxrex

Model Sources [optional]

Repository: https://github.com/scribe-project/nodalida_2023_combined_training
Paper [optional]:

@InProceedings{SolbergEtAlNoDaLiDa2023,
author = {Per Erik Solberg and Pablo Ortiz and Phoebe Parsons and Torbjørn Svendsen and Giampiero Salvi},	 
title = {Improving Generalization of Norwegian ASR with Limited Linguistic Resources},
booktitle = {Proceedings of the 24th Nordic Conference on Computational Linguistics},
year = 	 {2023},
month = 	 {May},
address = 	 {Tórshavn, Faroe Islands},
}

Uses

The model can be used for automatic speech recognition in Norwegian, and other tasks involving speech technology

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.

https://github.com/scribe-project/nodalida_2023_combined_training

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

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: [More Information Needed]
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

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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