Update README.md

README.md

@@ -4,7 +4,7 @@
 This is a finetuned version from GPT-Neo 125M by EletheurAI to Portuguese language. 
 
 ##### Training data
-It was training from 227.382 selected texts from a PTWiki Dump. You can found all the data from here: https://archive.org/details/ptwiki-dump-20210520
+It was training from 227,382 selected texts from a PTWiki Dump. You can found all the data from here: https://archive.org/details/ptwiki-dump-20210520
 
 ##### Training Procedure
 Every text was passed through a GPT2-Tokenizer with bos and eos tokens to separate it, with max sequence length that the GPT-Neo could support. It was finetuned using the default metrics of the Trainer Class, available on the Hugging Face library.
@@ -45,7 +45,9 @@ sample_outputs = model.generate(generated,
 
 # Decoding and printing sequences
 for i, sample_output in enumerate(sample_outputs):
-    print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
+    print(">> Generated text {}\
+\
+{}".format(i+1, tokenizer.decode(sample_output.tolist())))
 
 # >> Generated text
 #Setting `pad_token_id` to `eos_token_id`:50256 for open-end generation.