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🚨🚨🚨Deprecate evaluation_strategy to eval_strategy🚨🚨🚨 (#30190)

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This commit is contained in:
Zach Mueller
2024-04-18 12:49:43 -04:00
committed by GitHub
parent c86d020ead
commit 60d5f8f9f0
116 changed files with 214 additions and 203 deletions
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10
tests/trainer/test_trainer_callback.py
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@@ -133,12 +133,12 @@ class TrainerCallbackTest(unittest.TestCase):
expected_events += ["on_step_begin", "on_step_end"]
if step % trainer.args.logging_steps == 0:
expected_events.append("on_log")
if trainer.args.evaluation_strategy == IntervalStrategy.STEPS and step % trainer.args.eval_steps == 0:
if trainer.args.eval_strategy == IntervalStrategy.STEPS and step % trainer.args.eval_steps == 0:
expected_events += evaluation_events.copy()
if step % trainer.args.save_steps == 0:
expected_events.append("on_save")
expected_events.append("on_epoch_end")
if trainer.args.evaluation_strategy == IntervalStrategy.EPOCH:
if trainer.args.eval_strategy == IntervalStrategy.EPOCH:
expected_events += evaluation_events.copy()
expected_events += ["on_log", "on_train_end"]
return expected_events
@@ -215,12 +215,12 @@ class TrainerCallbackTest(unittest.TestCase):
events = trainer.callback_handler.callbacks[-2].events
self.assertEqual(events, self.get_expected_events(trainer))
trainer = self.get_trainer(callbacks=[MyTestTrainerCallback], eval_steps=5, evaluation_strategy="steps")
trainer = self.get_trainer(callbacks=[MyTestTrainerCallback], eval_steps=5, eval_strategy="steps")
trainer.train()
events = trainer.callback_handler.callbacks[-2].events
self.assertEqual(events, self.get_expected_events(trainer))
trainer = self.get_trainer(callbacks=[MyTestTrainerCallback], evaluation_strategy="epoch")
trainer = self.get_trainer(callbacks=[MyTestTrainerCallback], eval_strategy="epoch")
trainer.train()
events = trainer.callback_handler.callbacks[-2].events
self.assertEqual(events, self.get_expected_events(trainer))
@@ -231,7 +231,7 @@ class TrainerCallbackTest(unittest.TestCase):
logging_steps=3,
save_steps=10,
eval_steps=5,
evaluation_strategy="steps",
eval_strategy="steps",
)
trainer.train()
events = trainer.callback_handler.callbacks[-2].events