unsloth/studio/backend/assets/configs/model_defaults/other/unsloth_whisper-large-v3.yaml
2026-03-09 09:54:52 +00:00

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YAML

# Model defaults for unsloth/whisper-large-v3
# Based on Whisper.ipynb
# Also applies to: unsloth/whisper-large-v3, openai/whisper-large-v3
audio_type: whisper
audio_input: true
training:
trust_remote_code: false
eval_steps: 5
max_seq_length: 448
# num_epochs: 4
num_epochs: 0
learning_rate: 1e-4
batch_size: 1
gradient_accumulation_steps: 4
warmup_steps: 5
max_steps: 30
save_steps: 30
weight_decay: 0.001
random_seed: 3407
packing: false
train_on_completions: true
gradient_checkpointing: "unsloth"
optim: "adamw_8bit"
lr_scheduler_type: "linear"
lora:
lora_r: 64
lora_alpha: 64
lora_dropout: 0.0
target_modules:
- "q_proj"
- "v_proj"
use_rslora: false
use_loftq: false
logging:
enable_wandb: false
wandb_project: "llm-finetuning"
enable_tensorboard: false
tensorboard_dir: "runs"
log_frequency: 10
inference:
trust_remote_code: false