mnavas
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README.md
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@@ -112,3 +112,8 @@ The following hyperparameters were used during training:
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- Pytorch 1.9.1
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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- Pytorch 1.9.1
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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### Aknowledgments
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This work has been supported by NextProcurement European Action (grant agreement INEA/CEF/ICT/A2020/2373713-Action 2020-ES-IA-0255) and the Madrid Government (Comunidad de Madrid-Spain) under the Multiannual Agreement with Universidad Politécnica de Madrid in the line Support for R&D projects for Beatriz Galindo researchers, in the context of the V PRICIT (Regional Programme of Research and Technological Innovation). We also acknowledge the participation of Jennifer Tabita for the preparation of the initial set of notebooks, and the AI4Gov master students from the first cohort for their validation of the approach. Source of the data: Ministerio de Hacienda.
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