How long does it typically take to train a dataset for a single PDF when fine-tuning a model with Azure AI?

Thanks for the question, Here is the document for gpt 3.5 turbo pricing. https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/ Training Data Preparation:

• You have a PDF document with 10 pages, which translates to approximately 17,000 characters.
  • The document contains 3,200 tokens. Tokens are chunks of text (words, subwords, or characters) that the model processes during training.

1. Fine-Tuning Duration:

• The time it takes to fine-tune a model depends on factors like the dataset size and the specific use case.
• For your dataset size, fine-tuning may take several hours or even days.
  • In an example where the dataset had 5,500 tokens, it took over 6 hours for fine-tuning.
• To estimate the total cost, we can calculate the number of hours needed for fine-tuning based on the token count:
  • Tokens in your dataset: 3,200
  • Tokens per hour (example): 5,500
  • Estimated fine-tuning time: (\frac{{3,200}}{{5,500}}) (\times) 6 hours ≈ 3.5 hours
  • Total cost: 3.5 hours (\times) $68/hour = $238