Update README.md

README.md

@@ -72,9 +72,9 @@ In this section, we report the evaluation results of SmolLM3 model. All evaluati
 
 We highlight the best score in bold and underline the second-best score.
 
-## Base Pre-Trained Model
+### Base Pre-Trained Model
 
-### English benchmarks
+#### English benchmarks
 Note: All evaluations are zero-shot unless stated otherwise.
 
 | Category | Metric | SmolLM3-3B | Qwen2.5-3B | Llama3-3.2B | Qwen3-1.7B-Base | Qwen3-4B-Base |
@@ -98,7 +98,7 @@ Note: All evaluations are zero-shot unless stated otherwise.
 | | Ruler 32k context | 76.35 | 75.93 | <u>77.58</u> | 70.63 | **83.98** | 
 | | Ruler 64k context | 67.85 | 64.90 | **72.93** | 57.18 | 60.29 | 
 
-### Multilingual benchmarks
+#### Multilingual benchmarks
 
 
 
@@ -141,9 +141,9 @@ The model has also been trained on Arabic (standard), Chinese and Russian data,
 | | Flores-200 (5-shot) | 47.13 | 48.74 | 50.74 | <u>54.70</u> | **60.53** |
 
 
-## Instruction Model
+### Instruction Model
 
-### No Extended Thinking
+#### No Extended Thinking
 Evaluation results of non reasoning models and reasoning models in no thinking mode. We highlight the best and second-best scores in bold.
 | Category | Metric | SmoLLM3-3B | Qwen2.5-3B | Llama3.1-3B | Qwen3-1.7B | Qwen3-4B |
 |---------|--------|------------|------------|-------------|------------|----------|
@@ -158,7 +158,7 @@ Evaluation results of non reasoning models and reasoning models in no thinking m
 
 (*): this is a tool calling finetune
 
-### Extended Thinking
+#### Extended Thinking
 Evaluation results in reasoning mode for SmolLM3 and Qwen3 models: 
 | Category | Metric | SmoLLM3-3B | Qwen3-1.7B | Qwen3-4B |
 |---------|--------|------------|------------|----------|