Update README.md

README.md

@@ -24,4 +24,12 @@ To generate text using the model:
  
  tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/mbart-russian-grammar-corrector", src_lang="ru_RU", tgt_lang="ru_RU")
  input = tokenizer("I was here yesterday to studying",text_target="I was here yesterday to study", return_tensors='pt')
- output = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["ru_RU"])
+ output = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["ru_RU"])
+
+
+
+Training of the model is performed using the following loss computation based on the hidden state output h:
+
+ h.logits, h.loss = model(input_ids=input["input_ids"],
+ attention_mask=input["attention_mask"],
+ labels=input["labels"])