Update app.py

app.py

@@ -554,14 +554,14 @@ if not globals().get("_LOGS_PRINTED", False):
 BASE_BATCH_SIZE = 1                          # Valor base para o batch size (reduzido para CPU)
 INITIAL_ACCUMULATION_MIN_STEPS = 2
 INITIAL_ACCUMULATION_MAX_STEPS = 4
-BASE_EVAL_SIZE = 2                           # Batch size para avaliação (reduzido para CPU)
+BASE_EVAL_SIZE = 5                           # Batch size para avaliação (reduzido para CPU)
 BASE_LEARNING_RATE = 5e-5                    # 2e-5
 LR_SCHEDULER_TYPE = "constant_with_warmup"   # (HF: cosine + warmap) cosine
 WARMUP_RATIO = 0.03                          # ~3% dos 4012 steps ≈ 120
-LOGGIN_STEPS = 2
+LOGGIN_STEPS = 5
 SAVE_STRATEGY = "steps"
-SAVE_STEPS = 2
-EVAL_STEPS = 2
+SAVE_STEPS = 5
+EVAL_STEPS = 5
 #MAX_GRAD_NORM = 1.0
 WEIGHT_DECAY = 0.1
 OPTIM = "adamw_torch"