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https://github.com/hiyouga/LlamaFactory.git
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[v1] add sft (#9752)
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@@ -18,8 +18,11 @@ from ...utils.types import BatchInfo, BatchInput, DataLoader
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class BatchingPlugin(BasePlugin):
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def compute_length(self, dataloader: DataLoader) -> int:
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"""Compute the length of the batch generator."""
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def compute_length(self, data_provider: DataLoader) -> int:
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"""Compute the length of the batch generator.
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The approximate length is used to calculate the lr schedule.
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"""
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raise NotImplementedError()
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def fill_buffer(self, buffer: StatefulBuffer, batch_info: BatchInfo) -> None:
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19
src/llamafactory/v1/plugins/trainer_plugins/lr_scheduler.py
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19
src/llamafactory/v1/plugins/trainer_plugins/lr_scheduler.py
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@@ -0,0 +1,19 @@
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# Copyright 2025 the LlamaFactory team.
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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 ...utils.plugin import BasePlugin
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class LRSchedulerPlugin(BasePlugin):
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pass
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19
src/llamafactory/v1/plugins/trainer_plugins/optimizer.py
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src/llamafactory/v1/plugins/trainer_plugins/optimizer.py
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@@ -0,0 +1,19 @@
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# Copyright 2025 the LlamaFactory team.
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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 ...utils.plugin import BasePlugin
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class OptimizerPlugin(BasePlugin):
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pass
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