# Copyright 2020-2025 The HuggingFace Team. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. 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