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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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8
examples/research_projects/self-training-text-classification/selftraining.py
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@@ -79,7 +79,7 @@ class STTrainingArguments:
eval_metric: Optional[str] = dataclasses.field(
default="accuracy", metadata={"help": "The evaluation metric used for the task."}
)
evaluation_strategy: Optional[str] = dataclasses.field(
eval_strategy: Optional[str] = dataclasses.field(
default="no",
metadata={
"help": 'The evaluation strategy to adopt during training. Possible values are: ["no", "step", "epoch]'
@@ -208,7 +208,7 @@ def selftrain(model_name_or_path, train_file, infer_file, output_dir, **kwargs):
data_files["train"] = args.train_file
data_files["infer"] = args.infer_file
if args.evaluation_strategy != IntervalStrategy.NO.value:
if args.eval_strategy != IntervalStrategy.NO.value:
assert args.eval_file is not None
data_files["eval"] = args.eval_file
@@ -267,7 +267,7 @@ def selftrain(model_name_or_path, train_file, infer_file, output_dir, **kwargs):
"label_list": args.label_list,
"output_dir": current_output_dir,
"eval_metric": args.eval_metric,
"evaluation_strategy": args.evaluation_strategy,
"eval_strategy": args.eval_strategy,
"early_stopping_patience": args.early_stopping_patience,
"early_stopping_threshold": args.early_stopping_threshold,
"seed": args.seed,
@@ -341,7 +341,7 @@ def selftrain(model_name_or_path, train_file, infer_file, output_dir, **kwargs):
data_files["train_pseudo"] = os.path.join(next_data_dir, f"train_pseudo.{args.data_file_extension}")
if args.evaluation_strategy != IntervalStrategy.NO.value:
if args.eval_strategy != IntervalStrategy.NO.value:
new_eval_result = eval_result
if best_iteration is None: