diff --git a/examples/baby-llama/baby-llama-text.cpp b/examples/baby-llama/baby-llama-text.cpp
index cf7fdbb01..22f4b56a3 100644
--- a/examples/baby-llama/baby-llama-text.cpp
+++ b/examples/baby-llama/baby-llama-text.cpp
@@ -1237,7 +1237,7 @@ void get_example_targets(const int * train_samples, size_t n_train_samples, cons
     for (int i=1; i<n_tokens+1; ++i) {
         int token = clamp(train_data[sample+i-1], 0, n_vocab-1);
         set_f32_2d(target_logits, token, i-1, +1.0f);
-        set_f32_2d(target_probs,  token, i-1, -1.0f);
+        set_f32_2d(target_probs,  token, i-1, +1.0f);
         if (i<n_tokens) {
             ggml_set_i32_1d(tokens_input, i, token);
         }
@@ -1269,7 +1269,7 @@ void get_example_targets_batch(struct llama_context * lctx, const int * train_sa
             int token = clamp(train_data[sample+i-1], 0, n_vocab-1);
             // print_token(lctx, token);
             set_f32_3d(target_logits, token, i-1, k, +1.0f);
-            set_f32_3d(target_probs,  token, i-1, k, -1.0f);
+            set_f32_3d(target_probs,  token, i-1, k, +1.0f);
             if (i<n_tokens) {
                 set_i32_2d(tokens_input, i, k, token);
             }
@@ -1301,17 +1301,7 @@ struct ggml_tensor * square_error_loss(struct ggml_context * ctx, struct ggml_te
 }
 
 struct ggml_tensor * cross_entropy_loss(struct ggml_context * ctx, struct ggml_tensor * a, struct ggml_tensor * probs) {
-    const float eps = 1e-9f;
-    return
-        ggml_sum(ctx,
-            ggml_mul(ctx,
-                probs,
-                ggml_log(ctx,
-                    ggml_add1_inplace(ctx,
-                        ggml_scale_inplace(ctx,
-                            ggml_soft_max(ctx, a),
-                            ggml_new_f32(ctx, 1.0f-eps)),
-                        ggml_new_f32(ctx, eps)))));
+    return ggml_cross_entropy_loss(ctx, a, probs);
 }
 
 #ifdef __GNUC__