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fastNLP/fastNLP/core/callbacks
yh_cc b38fc1136e 1.修改ProgressBart在Trainer中的一个bug;2修复pytest的bug 3 years ago
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torch_callbacks 删除core.sampelrs.sampler.py；增加torch的clipgradient和warmupcallback 3 years ago
__init__.py 1.merge ModelCheckPointCallback和TrainerCheckpointCallback;2.新增MoreEvaluateCallback 3 years ago
callback.py 优化了Collator 3 years ago
callback_events.py 修改所有的 validate 为 evaluate ; 移动 callback.on_train_end() 3 years ago
callback_manager.py 1.修改ProgressBart在Trainer中的一个bug;2修复pytest的bug 3 years ago
checkpoint_callback.py 修改所有的 validate 为 evaluate ; 移动 callback.on_train_end() 3 years ago
early_stop_callback.py 修改所有的 validate 为 evaluate ; 移动 callback.on_train_end() 3 years ago
has_monitor_callback.py 修改所有的 validate 为 evaluate ; 移动 callback.on_train_end() 3 years ago
load_best_model_callback.py 优化了Collator 3 years ago
lr_scheduler_callback.py 1.Metric的aggregate_when_get_metric默认值修改为None;将根据Evaluator中Sampelr的状态最终决定;2.增加fastnlp_bo_syn_context关闭fastnlp中的多卡同步操作 3 years ago
more_evaluate_callback.py 修改所有的 validate 为 evaluate ; 移动 callback.on_train_end() 3 years ago
progress_callback.py 1.修改ProgressBart在Trainer中的一个bug;2修复pytest的bug 3 years ago
topk_saver.py 修复TopkSaver在CheckpointCallbackk中的bug;修改Saver对象，使得其方便被直接使用 3 years ago
utils.py 1.merge ModelCheckPointCallback和TrainerCheckpointCallback;2.新增MoreEvaluateCallback 3 years ago
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一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等

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