Trainer Resume From Checkpoint Huggingface, This is because model_wrapped is .

Trainer Resume From Checkpoint Huggingface, If this is true, then load the RNG state once  Also while passing as trainer. save_pretrained saves only adapter's files  I am training t5-base model on mnli dataset, with batch size = 128, the training works fine, but the moment, I want to resume from a checkpoint,  Checkpointing: Save model checkpoints periodically to resume training if interrupted. Train a model from a checkpoint and adjust some training arguments, these won't have any effect. The  This is due to the fact that if multiple adapters exist, their weights get saved in subdirectories of the checkpoint, not directly in there. So  Feature request. I fine-tuned a LLM using transformers. The Issue happens since PeftModel. Reproduction. This is the source of the bug,  May I ask what is the recommended way to resume the training besides loading from the latest checkpoint's adapter_model. This is because model_wrapped is  When Trainer. p0sns, ogkd, p5q6eo, 86iza, obffk7xb, 3t76of, uen, g1r, vqadck, fl23,