Contents
How long did GPT-2 take to train?
We trained a medium GPT-2 model on the text of 4harry potter books. This model took only 10 min to train on a GTX 1080 Ti. The perplexity score of the trained model was 12.71. Read this blog to learn more about Perplexity score.
How was GPT-2 trained?
The GPT-2 was trained on a massive 40GB dataset called WebText that the OpenAI researchers crawled from the internet as part of the research effort.
What can GPT-2 do?
GPT-2 is a very large language model with 1.5 billion parameters, trained on a dataset of 8 million web pages. Due to the diversity of the training dataset, it is capable of generating conditional synthetic text samples of unprecedented quality.
What is the difference between GPT-2 and GPT-3?
Few major differences from GPT-2 are: GPT-3 has 96 layers with each layer having 96 attention heads. Size of word embeddings was increased to 12888 for GPT-3 from 1600 for GPT-2. Context window size was increased from 1024 for GPT-2 to 2048 tokens for GPT-3.
How expensive is GPT-3?
Training GPT-3 reportedly cost $12 Million for a single training run¹. Is that really the most efficient way to train a model? Artificial intelligence is a commodity. In fact, extracting this commodity translates into billions of dollars in revenue gains for companies like Google, Baidu, and Facebook².
Why is OpenAI not free?
GPT-2 had 1.5 billion. While OpenAI has released its algorithms to the public in the past, it has opted to keep GPT-3 locked away. The research firm says it’s simply too large for most people to run, and putting it behind a paywall allows OpenAI to monetize its research.
Is GPT-3 a big deal?
GPT-3 is a big step forward in the world of AI, and when used correctly, a big opportunity in the world of support. We’re excited about its usefulness today, and its potential uses in the future.
Can GPT-3 Do Math?
tl;dr, GPT-3 can’t do basic math for problems it has not been directly trained on. See section 3.9. 1 and Figure 3.10. There is an additional category of problems of combinations of addition, subtraction and multiplication between three single-digit numbers.
What kind of data can I retrain GPT-2 with?
You can retrain GPT-2 with any text data – poems, novels, song lyrics, questions and answers, scientific papers, news, or articles. Take each source and compile into a single file using the following line to delimit each source.
What do you need to know about GPT-2?
To know about the internal nuts and bolts of GPT-2, I’d suggest you to go through this link. For more depths into Attention and Transformers, here are some excellent links: GPT-2 was also released for English, which makes it difficult for someone trying to generate text in a different language.
Can you train GPT-2 using other languages?
You can still train it using other languages but bear in mind that you may not achieve a good results with it even if you have sufficient data and time. You can combine all the data into one single text file or split them into multiple text files in one directory. If you are putting them in one basket, remember to delimit each data with
How to retrain GPT-2 ( 117m ) with Titan RTX?
If you intend to fine-tune the model using models other than 117MB, make sure that you have sufficient GPU memory else you will encounter Out of Memory Error. Use SGD instead of Adam optimizer to reduce your memory usage. You should be able to fine-tune 774M model + SGD optimizer using Titan RTX (24Gb).