Molformer model training error

[John6666]

It’s probably possible to get around this, but it would be even better if you could find out why it’s no longer contiguous and fix it.

Trainer

training_args = TrainingArguments(
    output_dir="./results",
    per_device_train_batch_size=1,
    num_train_epochs=10,
    logging_dir="./logs",
    logging_steps=1,
    save_safetensors=False, # added
    #################save_strategy = "epoch"
)

Using Trainer to save a Bartforsequenceclassification model

trainer.train() trainer.save_model() It gives me the error: modeling_utils.py", line 2546, in save_pretrained raise RuntimeError( RuntimeError: The weights trying to be saved contained shared tensors [{‘model.shared.weight’, ‘model.encoder.embed_tokens.weight’, ‘model.decoder.embed_tokens.weight’}] that are mismatching the transformers base configuration. Try saving using safe_serialization=False or remove this tensor sharing. Could anyone please tell me why is it happening? and how to so…

trainer save_model ValueError You are trying to save a non contiguous tensor