CODEWITHSUNDEEP
pythondeep-learninghuggingface-transformersbert-language-model
kaloon
kaloon

Reputation: 177

How Fine-tuned my trained model (bert) on another dataset

*** I used a pretrained BertModel to fine-tune model on squadv1 then fine-tune result model to final model.

This how I can load my trined model on squadv1

output_dir="mybert_squadv1/checkpoint-60000/"
model = AutoModelForQuestionAnswering.from_pretrained(output_dir)
tokenizer = AutoTokenizer.from_pretrained(output_dir, do_lower_case=do_lower_case)

after I loaded my model on a dataset, I want to fine-tune this model on another dataset. Let say squadv3 Can I do that or not ? if so, how i can do it?

Upvotes: 0

Views: 320

Answers (1)

Emir-Liu
Emir-Liu

Reputation: 68

you just get the tokenizer. After that,you should add your own Neural Networks after that and loss function. you can see how to train a normal network.

Upvotes: 0

Related Questions