* feat(studio): add DoRA support to studio * fix: added use_dora fast encoder LoraConfig and gated use_dora on AdapterMethod * fix(studio) serverside normalization for use_dora=true - add note documenting use_dora is silently dropped on diffusion * fix: dora button disabled on mac, add preflight guard on GGUF lora export, mismatch now correctly falls through to existing error instead of silently no-opping * Studio: add dora to the WizardState LoRA variant union for consistency * Reject --use_dora on the MLX (Apple Silicon) CLI path --------- Co-authored-by: danielhanchen <unslothai@gmail.com>
50 lines
952 B
YAML
50 lines
952 B
YAML
# Model defaults for OuteAI/Llama-OuteTTS-1.0-1B
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# Based on Oute_TTS_(1B).ipynb
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# Also applies to: OuteAI/Llama-OuteTTS-1.0-1B
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# added inference parameters from unsloth notebook
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audio_type: dac
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training:
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eval_steps: 0
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max_seq_length: 2048
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# num_epochs: 4
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num_epochs: 0
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learning_rate: 2e-4
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batch_size: 2
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gradient_accumulation_steps: 4
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warmup_steps: 5
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max_steps: 30
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save_steps: 30
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weight_decay: 0.001
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random_seed: 3407
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packing: false
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train_on_completions: true
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gradient_checkpointing: "unsloth"
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optim: "adamw_8bit"
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lr_scheduler_type: "linear"
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lora:
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lora_r: 128
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lora_alpha: 128
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lora_dropout: 0.0
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target_modules:
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- "q_proj"
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- "v_proj"
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use_rslora: false
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use_loftq: false
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use_dora: false
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logging:
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enable_wandb: false
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wandb_project: "llm-finetuning"
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enable_tensorboard: false
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tensorboard_dir: "runs"
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log_frequency: 10
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inference:
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temperature: 0.4
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top_k: 40
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top_p: 0.9
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min_p: 0.05
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