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README.md

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 # GPT2-Spanish
-GPT2-Spanish is a language generation model trained from scratch with 9GB of Spanish texts and with a Byte Pair Encoding (BPE) tokenizer that was trained for this purpose. The parameters used are the same as the medium version of the original OpenAI GPT2 model.
+GPT2-Spanish is a language generation model trained from scratch with 11.5GB of Spanish texts and with a Byte Pair Encoding (BPE) tokenizer that was trained for this purpose. The parameters used are the same as the medium version of the original OpenAI GPT2 model.
 
 ## Corpus
-This model was trained with a corpus of 9GB of texts corresponding to 3 GB of Wikipedia articles and 6GB of books (narrative, short stories, theater, poetry, essays, and popularization).
+This model was trained with a corpus of 11.5GB of texts corresponding to 3.5GB of Wikipedia articles and 8GB of books (narrative, short stories, theater, poetry, essays, and popularization).
 
 ## Tokenizer
 The texts are tokenized using a byte-level version of Byte Pair Encoding (BPE) (for Unicode characters) and a vocabulary size of 50257. The inputs are sequences of 1024 consecutive tokens.
@@ -15,7 +15,7 @@ Apart from the special token "<|endoftext|>" for text ending in the OpenAI GPT-2
 The model and tokenizer were trained using the Hugging Face libraries with an Nvidia Tesla V100 GPU with 16GB memory on Google Colab servers.
 
 ## Authors
-The model was trained by Jorge Ortiz Fuentes (Chile) and Alejandro Oñate Latorre (Spain), members of DeepESP, an open-source community on Natural Language Processing in Spanish (https://t.me/joinchat/VoEp1bPrDYEexc6h).
+The authors of this model have been anonymized because they are currently being evaluated for publication in INLG2021
 
 Thanks to the members of the community who collaborated with funding for the initial tests.