Update README.md

README.md

@@ -16,12 +16,16 @@ model-index:
       name: Word prediction
       type: text-generation
     dataset:
-      type: vlsp-2023-vllm/lambada
-      name: ViLambada
+      type: vlsp-2023-vllm/vi_lambada
+      name: vi_lambada
       split: test
     metrics:
     - type: Perplexity
       value: 8.606673731963474
+datasets:
+- vlsp-2023-vllm/vi_lambada
+metrics:
+- perplexity
 ---
 
 # Hoa 7B (Bloom architecture)
@@ -49,5 +53,4 @@ input_ids = tokenizer(prompt, return_tensors="pt")['input_ids'].to(device)
 gen_tokens = model.generate(input_ids, max_length=max_length, repetition_penalty=1.1)
 
 print(tokenizer.batch_decode(gen_tokens)[0])
-```
-
+```