Added games training and evaluation configuration (#426)

* added games

* Update eval_games_composite.yaml

* Delete training/evaluations/eval_qwen_3b.yaml

* Add files via upload

* Delete training/evaluations/eval_algebraic_composite.yaml

* Delete training/evaluations/eval_algorithmic_composite.yaml

* Delete training/evaluations/eval_arithmetic_composite.yaml

* Delete training/evaluations/eval_cognition_composite.yaml

* Delete training/evaluations/eval_games_composite.yaml

training/evaluations/eval_qwen_3b.yaml

@@ -1,28 +0,0 @@
-# Model configuration
-model_path: Qwen/Qwen2.5-3B-Instruct # Change to the smaller model
-max_tokens: 1024  # From max_response_length in training config
-temperature: 0.7  # Lower temperature for more focused responses
-top_p: 0.9  # From rollout top_p
-developer_prompt: DeepSeekZero
-developer_role: system  # Standard role for system prompts
-
-# Output configuration
-output_dir: results
-save_metadata: true
-save_full_results: true
-eval_repeats: 3
-
-# Categories and datasets to evaluate
-categories:
-  - category: reasoning
-    datasets:
-      - dataset: decimal_chain_sum
-        size: 100
-        seed: 42
-        params:
-          min_terms: 2
-          max_terms: 4
-          min_digits: 1
-          max_digits: 3
-          min_decimal_places: 1
-          max_decimal_places: 4

training/evaluations/intra-generalisation/eval_games_composite.yaml

@@ -1,12 +1,10 @@
-# Model configuration
-model_path: ../utils/qwen3b_games
-max_tokens: 1024
+model_path: ../utils/games
+max_tokens: 2048
 temperature: 0.6  # Lower temperature for more focused responses
 top_p: 0.9  # From rollout top_p
 developer_prompt: DeepSeekZero
 developer_role: system  # Standard role for system prompts
 
-# Output configuration
 output_dir: results
 save_metadata: true
 save_full_results: true
@@ -16,9 +14,11 @@ eval_repeats: 3
 categories:
   - category: reasoning
     datasets:
-      - dataset: mahjong_puzzle
+      - dataset: tower_of_hanoi
         size: 100
         seed: 42
         params:
-          min_num_rounds: 10
-          max_num_rounds:  50
+          min_disks: 3
+          max_disks: 4
+          min_pegs: 3
+          max_pegs: 4