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@@ -55,16 +55,19 @@ model.save_pretrained_merged("model", tokenizer, save_method = "lora",)
 model.push_to_hub_merged("hf/model", tokenizer, save_method = "lora", token = "")
 ```
 
-### Evaluation Loop OOM or crashing.
+### Evaluation Loop - also OOM or crashing.
 Set the trainer settings for evaluation to:
 ```python
-TrainingArguments(
-    fp16_full_eval = True,
-    per_device_eval_batch_size = 2,
-    eval_accumulation_steps = 4,
-    evaluation_strategy = "steps",
-    eval_steps = 1,
-)
+SFTTrainer(
+    args = TrainingArguments(
+        fp16_full_eval = True,
+        per_device_eval_batch_size = 2,
+        eval_accumulation_steps = 4,
+        evaluation_strategy = "steps",
+        eval_steps = 1,
+    ),
+    train_dataset = train_dataset,
+    eval_dataset = eval_dataset,
 ```
 This will cause no OOMs and make it somewhat faster with no upcasting to float32.