Solution for Graph to Multiple sentences / Paragraph generation

Beginners
2

I got a solution for the first Approach. Since I was using the Trainer API of huggingface for T5 and BART model, I just needed to provide generation_max_length=1024 to the trainer args.

eg:

training_args = Seq2SeqTrainingArguments(
    output_dir="my_model",
    evaluation_strategy="epoch",
    learning_rate=3e-5,
    per_device_train_batch_size=8,
    per_device_eval_batch_size=8,
    weight_decay=0.01,
    save_total_limit=3,
    num_train_epochs=3,
    predict_with_generate=True,
    fp16=True,
    push_to_hub=True,
    generation_max_length=1024,
    generation_num_beams=4
)

trainer = Seq2SeqTrainer(
    model=model,
    args=training_args,
    train_dataset=train_dataset,
    eval_dataset=test_dataset,
    tokenizer=tokenizer,
    data_collator=data_collator,
    compute_metrics=compute_metrics,
)

This did the job for me and I can generate paragraphs now.