remove stray breakpoint, fix mypy warning
This commit is contained in:
parent
68f748e99e
commit
ce2ada2617
@ -92,5 +92,5 @@ class TrainingArguments():
|
||||
max_instant_params: int = field(default=0, metadata={"help": "Maximum amount of paramters to optimize per step in millions"})
|
||||
churn_percent: int = field(default=100, metadata={"help": "The percentage of active parameters to replace when changeing active parameters"})
|
||||
eval_steps: int = field(default=-1, metadata={"help": "Number of optimization steps after wich to compute the evaluation loss"})
|
||||
eval_prompt: str = field(default=None, metadata={"help": "A prompt to used during eval to check if the model is learning"})
|
||||
eval_prompt: str | None = field(default=None, metadata={"help": "A prompt to used during eval to check if the model is learning"})
|
||||
reshufle_steps: int = field(default=50, metadata={"help": "Number of steps to take before changing the active parameters"})
|
||||
|
@ -218,7 +218,6 @@ def create_data_module(tokenizer: transformers.PreTrainedTokenizer, data_args: D
|
||||
eval_dataset = dataset['eval']
|
||||
else:
|
||||
print('Splitting train dataset in train and validation according to `eval_dataset_size`')
|
||||
breakpoint()
|
||||
dataset = dataset['train'].train_test_split(
|
||||
test_size=data_args.eval_dataset_size, shuffle=True, seed=42
|
||||
)
|
||||
|
Loading…
x
Reference in New Issue
Block a user