Update README.md

README.md

@@ -4,10 +4,10 @@
 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 trained 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.
+Every text was passed through a GPT2-Tokenizer with bos and eos tokens to separate them, 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.
 
 ##### Learning Rate: **2e-4**
 ##### Epochs: **1**
@@ -46,8 +46,8 @@ sample_outputs = model.generate(generated,
 
 # Decoding and printing sequences
 for i, sample_output in enumerate(sample_outputs):
-    print(">> Generated text {}\\
-\\
+    print(">> Generated text {}\\\\
+\\\\
 {}".format(i+1, tokenizer.decode(sample_output.tolist())))
 
 # >> Generated text