Update README.md

README.md

@@ -38,8 +38,8 @@ Use the code below to get started with the model.
 # Load model directly
 from transformers import AutoTokenizer, TFAutoModelForQuestionAnswering
 
-tokenizer = AutoTokenizer.from_pretrained("Tien-THM/QAVi")
-model = TFAutoModelForQuestionAnswering.from_pretrained("Tien-THM/QAVi")
+tokenizer = AutoTokenizer.from_pretrained("Tien-THM/bert-mini-fine-tuning-squad")
+model = TFAutoModelForQuestionAnswering.from_pretrained("Tien-THM/bert-mini-fine-tuning-squad")
 
 import numpy as np
 
@@ -79,9 +79,6 @@ Using 2 datasets:
 * Learning rate: 2e-5
 * Batch size: 8
 * Epoch: 4
-'train_loss': [4.7110, 3.2650, 2.7899, 2.4633],
-    'val_loss': [3.6251, 3.3062, 3.2184, 3.1946],
-    'exact_match': [0.38, 0.42, 0.44, 0.45]
 #### Training Loss
 | Epoch | Train loss | Validation loss | Exact Match |
 |----------|----------|----------|----------|