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Update minor sections

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@@ -159,8 +159,7 @@ The language adaptation technique used to train FLOR-1.3B-GL is based in the use
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  ### Training data
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- CorpusNos (describir) Citar paper? Zenodo?
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  ### Training hyperparameters
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  The traininf was conducted in the Galicia Supercomputing Center ([CESGA](https://www.cesga.es/en/home-2/)), using 1 node with 5 GPUs NVIDIA A100.
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  ## Evaluation
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- Human evaluation? Include automatic metrics? (bertscore, perplexity)
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  ## Additional information
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  ### Contact
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- ### Copyright
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  ### License
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  MIT License
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  If you use this model, please cite as follows:
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- AUTHORS
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- URL: https://huggingface.co/proxectonos/FLOR-1.3B-GL
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  ### Training data
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+ TO-DO
 
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  ### Training hyperparameters
 
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  The traininf was conducted in the Galicia Supercomputing Center ([CESGA](https://www.cesga.es/en/home-2/)), using 1 node with 5 GPUs NVIDIA A100.
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  ## Evaluation
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+ TO-DO
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  ## Additional information
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  ### Contact
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+ For further information, please send an email to <proxecto.nos@usc.gal>
 
 
 
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  ### License
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  MIT License
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  If you use this model, please cite as follows:
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+ Rodríguez, Pablo; Gamallo, Pablo; Sotelo, Susana; Paniagua, Silvia; Pichel, José Ramón; Bardanca, Daniel. 2024. FLOR-1.3B-GL. URL: https://huggingface.co/proxectonos/FLOR-1.3B-GL
 
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