chore: remove stale recipes/orpo-planner-collab-iter2.yaml

recipes/orpo-planner-collab-iter2.yaml

@@ -1,46 +0,0 @@
-# ORPO iter-2 on planner-COLLAB-iter1 — starts from prior ORPO checkpoint, uses new rollouts.
-model_name_or_path: ./output/qwen-coder3b-scaleup-planner-COLLAB-orpo
-torch_dtype: bfloat16
-use_flash_attention_2: false
-
-dataset_mixer:
-  ../data/llm_alignment/scaleup_iter2/hf_planner_collaborative: 1.0
-
-dataset_splits:
-- train_dpo
-- test_dpo
-preprocessing_num_workers: 12
-chat_template: "{{'<|im_start|>user\n' + messages['prompt'] + '<|im_end|>\n'}}{{'<|im_start|>assistant\n' + messages['completion'] + '<|im_end|>\n'}}"
-report_to: ["tensorboard"]
-
-bf16: true
-beta: 1.0
-do_eval: true
-eval_strategy: "steps"
-eval_steps: 100
-gradient_accumulation_steps: 16
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: False
-learning_rate: 1.0e-6
-log_level: info
-logging_steps: 10
-lr_scheduler_type: inverse_sqrt
-max_length: 4000
-max_prompt_length: 3500
-num_train_epochs: -1
-max_steps: 200
-optim: adamw_torch
-output_dir: output/qwen-coder3b-scaleup-planner-COLLAB-orpo-iter2
-overwrite_output_dir: true
-per_device_train_batch_size: 1
-per_device_eval_batch_size: 1
-push_to_hub: false
-remove_unused_columns: false
-save_strategy: "steps"
-save_steps: 200
-save_total_limit: 1
-seed: 42
-warmup_ratio: 0.1
-warmup_steps: 50
-max_grad_norm: 0.5