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https://github.com/huggingface/transformers.git
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490b39e614
* Add label smoothing in Trainer * Add options for scheduler and Adafactor in Trainer * Put Seq2SeqTrainer in the main lib * Apply suggestions from code review Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com> * Address review comments and adapt scripts * Documentation * Move test not using script to tests folder Co-authored-by: Stas Bekman <stas00@users.noreply.github.com> Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
98 lines
3.3 KiB
ReStructuredText
98 lines
3.3 KiB
ReStructuredText
..
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Copyright 2020 The HuggingFace Team. All rights reserved.
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Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
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the License. You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
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an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
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specific language governing permissions and limitations under the License.
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Optimization
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-----------------------------------------------------------------------------------------------------------------------
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The ``.optimization`` module provides:
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- an optimizer with weight decay fixed that can be used to fine-tuned models, and
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- several schedules in the form of schedule objects that inherit from ``_LRSchedule``:
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- a gradient accumulation class to accumulate the gradients of multiple batches
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AdamW (PyTorch)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.AdamW
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:members:
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AdaFactor (PyTorch)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.Adafactor
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AdamWeightDecay (TensorFlow)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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.. autoclass:: transformers.AdamWeightDecay
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.. autofunction:: transformers.create_optimizer
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Schedules
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Learning Rate Schedules (Pytorch)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. autoclass:: transformers.SchedulerType
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.. autofunction:: transformers.get_scheduler
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.. autofunction:: transformers.get_constant_schedule
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.. autofunction:: transformers.get_constant_schedule_with_warmup
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.. image:: /imgs/warmup_constant_schedule.png
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:target: /imgs/warmup_constant_schedule.png
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:alt:
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.. autofunction:: transformers.get_cosine_schedule_with_warmup
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.. image:: /imgs/warmup_cosine_schedule.png
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:target: /imgs/warmup_cosine_schedule.png
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:alt:
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.. autofunction:: transformers.get_cosine_with_hard_restarts_schedule_with_warmup
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.. image:: /imgs/warmup_cosine_hard_restarts_schedule.png
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:target: /imgs/warmup_cosine_hard_restarts_schedule.png
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:alt:
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.. autofunction:: transformers.get_linear_schedule_with_warmup
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.. image:: /imgs/warmup_linear_schedule.png
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:target: /imgs/warmup_linear_schedule.png
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:alt:
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.. autofunction:: transformers.get_polynomial_decay_schedule_with_warmup
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Warmup (TensorFlow)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. autoclass:: transformers.WarmUp
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:members:
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Gradient Strategies
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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GradientAccumulator (TensorFlow)
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. autoclass:: transformers.GradientAccumulator
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