If you're seeking accurate answers to the Transformer Models and BERT Model: Quiz, you've come to the right place. Here, you'll find a comprehensive
list of all the questions along with their corresponding
answers.
Transformer Models and BERT Model: Quiz Questions and Answers
Q1. What does fine-tuning a BERT model mean?
Option 1: Training the model on a specific task by using a large
amount of unlabeled data
Option 2:
Training the model and updating the pre-trained weights on a specific
task by using labeled data
Option 3: Training the hyper-parameters of the models on a
specific task
Option 4: Training the model on a specific task and not updating
the pre-trained weights
The Correct Answer for Q1 is Option 2
Q2. What is the name of the language modeling technique that is used in Bidirectional Encoder Representations from Transformers (BERT)?
Option 1: Recurrent Neural Network (RNN)
Option 2:
Transformer
Option 3: Long Short-Term Memory (LSTM)
Option 4: Gated Recurrent Unit (GRU)
The Correct Answer for Q2 is Option 2
Q3. What is a transformer model?
Option 1: A machine learning model that uses recurrent neural
networks to learn relationships between different parts of a
sequence.
Option 2:
A deep learning model that uses self-attention to learn relationships
between different parts of a sequence.
Option 3: A natural language processing model that uses
convolutions to learn relationships between different parts of a
sequence.
Option 4: A computer vision model that uses fully connected layers
to learn relationships between different parts of an image.
The Correct Answer for Q3 is Option 2
Q4. BERT is a transformer model that was developed by Google in 2018. What is BERT used for?
Option 1: It is used to generate text, translate languages, and
write different kinds of creative content.
Option 2:
It is used to solve many natural language processing tasks, such as
question answering, text classification, and natural language
inference.
Option 3: It is used to train other machine learning models, such
as Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
networks.
Option 4: It is used to diagnose and treat diseases
The Correct Answer for Q4 is Option 2
Q5. What are the two sublayers of each encoder in a Transformer model?
Option 1: Embedding and classification
Option 2:
Self-attention and feedforward
Option 3: Convolution and pooling
Option 4: Recurrent and feedforward.
The Correct Answer for Q5 is Option 2
Q6. What are the three different embeddings that are generated from an input sentence in a Transformer model?
Option 1: Embedding, classification, and next sentence
embeddings
Option 2:
Token, segment, and position embeddings
Option 3: Convolution, pooling, and recurrent embeddings
Option 4: Recurrent, feedforward, and attention embeddings
The Correct Answer for Q6 is Option 2
Q7. What are the encoder and decoder components of a transformer model?
Option 1: The encoder ingests an input sequence and produces a
single hidden state. The decoder takes in the hidden state from the
encoder and produces an output sequence.
Option 2:
The encoder ingests an input sequence and produces a sequence of
hidden states. The decoder takes in the hidden states from the encoder
and produces an output sequence.
Option 3: The encoder ingests an input sequence and produces a
sequence of tokens. The decoder takes in the tokens from the encoder and
produces an output sequence.
Option 4: The encoder ingests an input sequence and produces a
sequence of images. The decoder takes in the images from the encoder and
produces an output sequence.
The Correct Answer for Q7 is Option 2
Q8. What kind of transformer model is BERT?
Option 1:
Encoder-only model
Option 2: Encoder-decoder model
Option 3: Decoder-only model
Option 4: Recurrent Neural Network (RNN) encoder-decoder
model
The Correct Answer for Q8 is Option 1
Q9. What is the attention mechanism?
Option 1: A way of determining the similarity between two
sentences
Option 2:
A way of determining the importance of each word in a sentence for
the translation of another sentence
Option 3: A way of predicting the next word in a sentence
Option 4: A way of identifying the topic of a sentence
The Correct Answer for Q9 is Option 2
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