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29 lines
1.0 KiB
Python
29 lines
1.0 KiB
Python
# Copyright 2020-2025 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from huggingface_hub import whoami
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model_name = "unsloth/Llama-3.2-3B"
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tokenizer_name = "unsloth/Llama-3.2-3B"
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dataset_name = "WillHeld/top_v2"
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output_root_dir = "./checkpoints/"
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hub_model_id = f"{whoami()['name']}/layerskip-{model_name.split('/')[1]}-{dataset_name.split('/')[1]}"
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output_dir = f"{output_root_dir}/{hub_model_id}"
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per_device_train_batch_size = 8
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gradient_accumulation_steps = 1
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learning_rate = 2e-5
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