Update README.md

README.md

@@ -63,37 +63,4 @@ 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])
-```
-
-```
-{
-  "results": {
-    "lambada_vi": {
-      "ppl": 22.64664251438597,
-      "ppl_stderr": 0.5810548407007641,
-      "acc": 0.29679875073199297,
-      "acc_stderr": 0.004513514788263131
-    }
-  },
-  "versions": {
-    "lambada_vi": null
-  },
-  "config": {
-    "model": "hf-causal",
-    "model_args": "pretrained=vlsp-2023-vllm/hoa-7b",
-    "num_fewshot": 0,
-    "batch_size": null,
-    "batch_sizes": [],
-    "device": "cuda:0",
-    "no_cache": false,
-    "limit": null,
-    "bootstrap_iters": 100000,
-    "description_dict": {}
-  }
-}
-hf-causal (pretrained=vlsp-2023-vllm/hoa-7b), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
-|   Task   |Version|Metric| Value |   |Stderr|
-|----------|-------|------|------:|---|-----:|
-|lambada_vi|       |ppl   |22.6466|±  |0.5811|
-|          |       |acc   | 0.2968|±  |0.0045|
 ```