May-18-2024, 04:50 AM
(This post was last modified: May-18-2024, 04:50 AM by alexanderDennisEnviro500.)
I wrote a code that will fine-tine my QnA model using huggingface. However, things went awry when I ran into problems from this line:
trainer.train()This is the full traceback:
Traceback (most recent call last): File "C:\Users\Philip Chen\OneDrive\Documents\ML\machineLearning.py", line 45, in <module> trainer.train() File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\trainer.py", line 1859, in train return inner_training_loop( File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\transformers\trainer.py", line 2165, in _inner_training_loop for step, inputs in enumerate(epoch_iterator): File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\data_loader.py", line 454, in __iter__ current_batch = next(dataloader_iter) File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\dataloader.py", line 631, in __next__ data = self._next_data() File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\dataloader.py", line 675, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\utils\data\_utils\fetch.py", line 51, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "C:\Users\Philip Chen\AppData\Local\Programs\Python\Python310\lib\site-packages\datasets\dataset_dict.py", line 81, in __getitem__ raise KeyError( KeyError: "Invalid key: 0. Please first select a split. For example: `my_dataset_dictionary['train'][0]`. Available splits: ['train']"This is my code:
# https://www.mlexpert.io/blog/alpaca-fine-tuning # https://wellsr.com/python/fine-tuning-huggingface-models-in-tensorflow-keras/ # https://learnopencv.com/fine-tuning-bert/ # https://medium.com/@karary/nlp-fine-tune-question-answering-model-%E5%AF%A6%E4%BD%9C-3-model-training-%E5%84%B2%E5%AD%98%E8%88%87-inference-13d2a5bf5c32 import transformers as tf import datasets as ds import pandas as pd import numpy as np import torch import json ############## Check if CUDA is enabled. ################ hasCUDA=torch.cuda.is_available() print(f"CUDA Enabled? {hasCUDA}") device="cuda" if hasCUDA else "cpu" ############## Loading file and populating data ################ fileName="qna.json" trainDS=ds.load_dataset("json", data_files=fileName) evalDS=ds.load_dataset("json", data_files=fileName) # rawDS=ds.load_dataset('squad') ############## Model ########################################## modelName="./distilbert-base-cased" #or replace the model name with whatever you feel like. config=tf.AutoConfig.from_pretrained(modelName+"/config.json") model=tf.AutoModelForQuestionAnswering.from_pretrained(modelName,config=config) tokenizer=tf.AutoTokenizer.from_pretrained(modelName) ############## Training ####################################### trnArgs=tf.TrainingArguments( output_dir="./", evaluation_strategy="epoch", save_strategy="epoch", learning_rate=2e-5, num_train_epochs=3, remove_unused_columns=False, fp16=True ) trainer=tf.Trainer( model=model, args=trnArgs, train_dataset=trainDS, eval_dataset=evalDS, tokenizer=tokenizer ) trainer.train()And this is my qna.json file:
{"text": "Who wrote Charlie and the Chocolate Factory?", "label": "Roald Dahl"} {"text": "Name a few ways to treat constipation naturally.", "label": "Exercise regularly, eat more fibers, and drink more water."} {"text": "Where is the longest roller coaster located?", "label": "Nagashima, Japan. The name of the coaster is Steel Dragon 2000."} {"text": "What are the 11 herbs and spices that Colonel Sanders used in KFC?", "label": "Nobody knows, as it's a secret."} {"text": "Who wrote Les Miserables?", "label": "Victor Hugo"} {"text": "What is the Watergate Scandal?", "label": "The Watergate scandal was a significant political controversy in the United States during the presidency of Richard Nixon from 1972 to 1974, ultimately resulting in Nixon's resignation. It originated from attempts by the Nixon administration to conceal its involvement in the June 17, 1972, break-in at the Democratic National Committee headquarters located in the Watergate Office Building in Washington, D.C."} {"text": "What is Obama's most famous quote?", "label": "'Yes we can!'"}Please suggest how I should fix this problem. Thanks!