Update README.md

README.md

@@ -15,8 +15,6 @@ tags:
 
 # Load model directly
 
-"Load Model"
-
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
@@ -24,6 +22,23 @@ tokenizer = AutoTokenizer.from_pretrained("Marzu39/bert-turkish-text-classificat
 model = AutoModelForSequenceClassification.from_pretrained("Marzu39/bert-turkish-text-classification")
 
 ```
+# Training hyperparameters
+training_args = TrainingArguments(
+    do_train=True,
+    do_eval=True,
+    num_train_epochs=3,
+    per_device_train_batch_size=8,
+    per_device_eval_batch_size=16,
+    warmup_steps=100,
+    weight_decay=0.01,
+    logging_strategy='steps',
+    logging_steps=50,
+    evaluation_strategy="epoch",
+    eval_steps=50,
+    save_strategy="epoch",
+    fp16=False,
+    load_best_model_at_end=True
+)
 #### Summary
 
 Sentiment classification based on Transformers is a topic that has recently been widely studied in