44 lines
783 B
YAML
44 lines
783 B
YAML
base_model: JackFram/llama-68m
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load_in_8bit: true
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datasets:
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- path: arcee-ai/distilabel-intel-orca-dpo-pairs-binarized
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type: chatml.ultra
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split: train
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output_dir: ./outputs/lora-out
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sequence_len: 1024
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adapter: lora
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lora_r: 64
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lora_alpha: 32
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lora_dropout: 0.1
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lora_target_linear: true
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rl: dpo
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dpo_use_weighting: true
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wandb_project: check_dpotrainer
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wandb_entity: axolotl-ai
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wandb_watch:
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wandb_name: baseline/dpo_base/dpo_use_weighting
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wandb_log_model:
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num_epochs: 1
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micro_batch_size: 4
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gradient_accumulation_steps: 1
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learning_rate: 0.00001
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optimizer: paged_adamw_8bit
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lr_scheduler: cosine
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max_steps": 20
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save_steps: 10
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warmup_steps: 5
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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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#special_tokens:
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# pad_token: <|end_of_text|>
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