inter-domain generalisation evaluation configs (#424)

* add inter-domain generalisation eval config for algebra

* add algorithmic eval cfg

* vllm infer

* add arithmetic eval cfg

* add geometry eval cfg

* add arc cfg

* add games eval cfg

* add cognition eval cfg

* add graphs eval cfg

training/evaluations/inter_generalisation/cognition.yaml

@@ -0,0 +1,44 @@
+# Config used for evaluating inter-domain generalisation experiment models on cognition test data
+
+# Models evaluated on this config:
+# Qwen/Qwen2.5-3B-Instruct (original model)
+# inter_logic_qwen_3b_400 (original + 400 GRPO steps on logic RG data)
+
+model_path: ../models/inter_logic_qwen_3b_400  # Change to the model to be evaluated
+
+max_tokens: 2048  # From max_response_length in training config
+top_p: 0.9  # From rollout top_p
+temperature: 0.6  # Lower temperature for more focused responses
+
+developer_prompt: DeepSeekZero
+developer_role: system
+
+output_dir: results
+save_metadata: true
+save_full_results: true
+eval_repeats: 3
+
+categories:
+  - category: cognition
+    datasets:
+      - dataset: color_cube_rotation
+        size: 100
+        seed: 42
+      - dataset: figlet_font
+        size: 100
+        seed: 42
+      - dataset: modulo_grid
+        size: 100
+        seed: 42
+      - dataset: needle_haystack
+        size: 100
+        seed: 42
+      - dataset: number_sequence
+        size: 100
+        seed: 42
+      - dataset: rectangle_count
+        size: 100
+        seed: 42
+      - dataset: rubiks_cube
+        size: 100
+        seed: 42