Update Mistral hyper parameters and results

modules/llm/Mistral-7b/Mistral-7b_fine_tune.py

@@ -57,7 +57,8 @@ def fine_tune(base_model, new_model):
     # Hyperparameters should beadjusted based on the hardware you using
     training_arguments = TrainingArguments(
         per_device_train_batch_size=2,
-        gradient_accumulation_steps=1,
+        gradient_accumulation_steps=2,
+        num_train_epochs=6,
         learning_rate=1e-4,
         logging_steps=2,
         optim="adamw_torch",