refactor mm training

Former-commit-id: 179c0558699e287cbf38a2d73bff47e86d589c5a
This commit is contained in:
hiyouga
2024-08-30 02:14:31 +08:00
parent 77c2c7076b
commit c62a6ca59d
29 changed files with 499 additions and 312 deletions

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@@ -17,9 +17,7 @@
from typing import TYPE_CHECKING, List, Optional
from transformers import DataCollatorWithPadding
from ...data import get_dataset
from ...data import CustomDataCollatorForSeq2Seq, get_dataset
from ...extras.ploting import plot_loss
from ...model import load_model, load_tokenizer
from ..callbacks import fix_valuehead_checkpoint
@@ -47,7 +45,7 @@ def run_ppo(
model = load_model(tokenizer, model_args, finetuning_args, training_args.do_train, add_valuehead=True)
tokenizer.padding_side = "left" # use left-padding in generation while using right-padding in training
data_collator = DataCollatorWithPadding(tokenizer=tokenizer)
data_collator = CustomDataCollatorForSeq2Seq(tokenizer=tokenizer)
# Create reference model and reward model
ref_model = create_ref_model(model_args, finetuning_args, add_valuehead=True)