53 lines
1.1 KiB
YAML
53 lines
1.1 KiB
YAML
# Model defaults for unsloth/gemma-3n-E4B-it
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# Based on Gemma3N_(4B)-Conversational.ipynb
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# Also applies to: unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit, google/gemma-3n-E4B-it, unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit
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# added inference parameters from unsloth guides
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training:
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trust_remote_code: false
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max_seq_length: 1024
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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: 1
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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: 8
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lora_alpha: 8
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lora_dropout: 0.0
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target_modules:
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- "all-linear"
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use_rslora: false
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use_loftq: false
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finetune_vision_layers: true
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finetune_language_layers: true
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finetune_attention_modules: true
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finetune_mlp_modules: true
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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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audio_input: true
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inference:
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trust_remote_code: false
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temperature: 1.0
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top_k: 64
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top_p: 0.95
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min_p: 0.0
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