Update README.md

README.md

@@ -24,4 +24,12 @@ To generate text using the model:
     
     tokenizer = MBart50TokenizerFast.from_pretrained("MRNH/mbart-italian-grammar-corrector", src_lang="it_IT", tgt_lang="it_IT")
     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["it_IT"])
+    output = model.generate(input["input_ids"],attention_mask=input["attention_mask"],forced_bos_token_id=tokenizer_it.lang_code_to_id["it_IT"])
+
+
+
+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"])