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  - **Architecture**: roberta-base
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  ## Description
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- In order to improve the RoBERTa encoder performance, this model has been trained using the generated corpus ([in this respository](https://huggingface.co/oeg/RoBERTa-CelebA-Sp/)
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  and following the strategy of using a Siamese network together with the loss function of cosine similarity. The following steps were followed:
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  - Define sentence-transformer and torch libraries for the implementation of the encoder.
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  - Divide the training corpus into two parts, training with 249,999 sentences and validation with 10,000 sentences.
@@ -63,7 +63,6 @@ This model is available under the [Apache License 2.0.](https://www.apache.org/l
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  ## Contributors
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  See the full list of contributors [here](https://github.com/eduar03yauri/DCGAN-text2face-forSpanishs).
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-
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- <img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-oeg.png" alt="Ontology Engineering Group" width="100">
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- <img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-upm.png" alt="Universidad Politécnica de Madrid" width="100">
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- <kbd><img src="https://www.uni.edu.pe/images/logos/logo_uni_2016.png" alt="Universidad Politécnica de Madrid" width="100"></kbd>
 
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  - **Architecture**: roberta-base
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  ## Description
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+ In order to improve the RoBERTa encoder performance, this model has been trained using the generated corpus ([in this respository](https://huggingface.co/oeg/RoBERTa-CelebA-Sp/))
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  and following the strategy of using a Siamese network together with the loss function of cosine similarity. The following steps were followed:
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  - Define sentence-transformer and torch libraries for the implementation of the encoder.
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  - Divide the training corpus into two parts, training with 249,999 sentences and validation with 10,000 sentences.
 
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  ## Contributors
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  See the full list of contributors [here](https://github.com/eduar03yauri/DCGAN-text2face-forSpanishs).
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+ <kbd><img src="https://www.uni.edu.pe/images/logos/logo_uni_2016.png" alt="Universidad Politécnica de Madrid" width="100"></kbd>
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+ <kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-oeg.png" alt="Ontology Engineering Group" width="100"></kbd>
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+ <kbd><img src="https://raw.githubusercontent.com/oeg-upm/TINTO/main/assets/logo-upm.png" alt="Universidad Politécnica de Madrid" width="100"></kbd>