Fine-tuning cost: $17 for 38,340 examples
Using only 38,340 examples keeps fine-tuning costs low—approximately $17.0—while larger datasets increase both cost and training time.
Supporting evidence
How to train your own Jev for $17
Original excerpt
We only use 38,340 examples to keep our fine-tuning costs low. Training against a dataset of this size will only cost about $17.0, while larger datasets are more expensive and time-consuming to train against.