examples/research_projects/layer_skip/scripts/config.py

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from huggingface_hub import whoami


model_name = "unsloth/Llama-3.2-3B"
tokenizer_name = "unsloth/Llama-3.2-3B"
dataset_name = "WillHeld/top_v2"

output_root_dir = "./checkpoints/"
hub_model_id = f"{whoami()['name']}/layerskip-{model_name.split('/')[1]}-{dataset_name.split('/')[1]}"
output_dir = f"{output_root_dir}/{hub_model_id}"

per_device_train_batch_size = 8
gradient_accumulation_steps = 1
learning_rate = 2e-5