recipes: add orpo-val-sel-indep-paper.yaml
Browse files
recipes/iter1-paper/orpo-val-sel-indep-paper.yaml
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model_name_or_path: /weka/s225250685/mats-tist/alignment-handbook/output/sft-validator-sel-llama1b-paper-v1
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torch_dtype: bfloat16
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use_flash_attention_2: false
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dataset_mixer:
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/weka/s225250685/mats-tist/data/hf_orpo_val_sel_paper_iter1_indep: 1.0
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dataset_splits:
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- train_dpo
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- test_dpo
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preprocessing_num_workers: 12
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chat_template: "{{'<|begin_of_text|><|start_header_id|>user<|end_header_id|>\n\n' + messages['prompt'] + '<|eot_id|>'}}{{'<|start_header_id|>assistant<|end_header_id|>\n\n' + messages['completion'] + '<|eot_id|>'}}"
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report_to: ["tensorboard"]
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bf16: true
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beta: 0.1
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do_eval: true
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eval_strategy: "steps"
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eval_steps: 100
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gradient_accumulation_steps: 8
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: False
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learning_rate: 1.0e-6
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log_level: info
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logging_steps: 10
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lr_scheduler_type: inverse_sqrt
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max_length: 3000
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max_prompt_length: 2700
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num_train_epochs: -1
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max_steps: 200
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optim: adamw_torch
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output_dir: /weka/s225250685/mats-tist/alignment-handbook/output/orpo-val-sel-indep-paper
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overwrite_output_dir: true
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per_device_train_batch_size: 1
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per_device_eval_batch_size: 1
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push_to_hub: false
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remove_unused_columns: false
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save_strategy: "steps"
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save_steps: 400
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save_total_limit: 1
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seed: 42
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warmup_ratio: 0.1
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warmup_steps: 50
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max_grad_norm: 0.1
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