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--- |
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license: apache-2.0 |
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datasets: |
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- mlabonne/orpo-dpo-mix-40k |
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language: |
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- en |
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library_name: transformers |
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base_model: h2oai/h2o-danube2-1.8b-base |
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--- |
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# danube2-1.8b-ORPO |
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ChatML tokens are added and first fine-tuned with BAdam and then QLoRA+ on mlabonne/orpo-dpo-mix-40k, but as SFT and not DPO, and using LLama-Factory. |
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## Template |
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```jinja |
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<|im_start>user |
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{{instruction}}<|im_end|> |
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<|im_start>assistant |
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{{response}}<|im_end> |
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``` |
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## BAdam |
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```yaml |
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### model |
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model_name_or_path: danube2-base-chatml |
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### method |
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stage: sft |
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do_train: true |
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finetuning_type: full |
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use_badam: true |
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badam_switch_mode: ascending |
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badam_switch_interval: 50 |
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badam_verbose: 1 |
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badam_start_block: 12 |
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badam_mask_mode: scatter |
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seed: 314 |
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### dataset |
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dataset: orpo_sft_mix_40k |
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template: ninja_chatml |
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cutoff_len: 8192 |
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overwrite_cache: false |
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preprocessing_num_workers: 12 |
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### output |
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output_dir: orpo-chatml-badam |
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logging_steps: 5 |
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save_steps: 1 |
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save_strategy: epoch |
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plot_loss: true |
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overwrite_output_dir: false |
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### train |
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per_device_train_batch_size: 2 |
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gradient_accumulation_steps: 8 |
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learning_rate: 0.00001 |
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num_train_epochs: 2 |
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lr_scheduler_type: cosine |
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warmup_ratio: 0.01 |
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pure_bf16: true |
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flash_attn: fa2 |
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### eval |
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val_size: 0.01 |
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per_device_eval_batch_size: 1 |
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eval_strategy: steps |
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eval_steps: 1000 |
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``` |
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### QLoRA+ |
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```yaml |
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### model |
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model_name_or_path: orpo-chatml-badam |
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### method |
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stage: sft |
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do_train: true |
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finetuning_type: lora |
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lora_target: all |
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loraplus_lr_ratio: 16.0 |
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lora_rank: 8 |
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lora_alpha: 16 |
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use_unsloth: true |
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quantization_bit: 4 |
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upcast_layernorm: true |
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seed: 31415 |
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### dataset |
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dataset: orpo_sft_mix_40k |
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template: hermes_chatml |
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cutoff_len: 8192 |
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overwrite_cache: false |
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preprocessing_num_workers: 12 |
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### output |
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output_dir: orpo-chatml-badam/loraplus |
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logging_steps: 1 |
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save_steps: 1 |
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save_strategy: epoch |
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plot_loss: true |
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overwrite_output_dir: false |
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### train |
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per_device_train_batch_size: 4 |
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gradient_accumulation_steps: 4 |
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learning_rate: 0.0001 |
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num_train_epochs: 2.0 |
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lr_scheduler_type: cosine |
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warmup_ratio: 0.01 |
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bf16: true |
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flash_attn: fa2 |
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### eval |
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val_size: 0.02 |
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per_device_eval_batch_size: 1 |
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eval_strategy: steps |
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eval_steps: 1000 |
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``` |
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