I’m planning to fine-tune a mistral model with my own dataset. (full fine-tune, not LORAs)

The dataset is not that large, around 120 mb in jsonl format.

My questions are:

  1. Will I be able to fine-tune the model with 4 cards of 40G A100?
  2. If not, is using runpod the easiest approach?
  3. I’m trying to instill knowledge in a certain language, for a field it does not have sufficient knowledge in said language. Is fine-tuning my only option? RAG is not viable in my case.

Thanks in advance!

  • thereisonlythedance@alien.topBEnglish
    1·
    1 year ago

    An A100 ((80GB) costs between $1.70=$1.99 per hour on RunPod. How long you need depends on dataset size, sequence length, the optimizer you choose and how many epochs you train for. I can get a full finetune of Mistral (5 epochs) with an Adam 8-bit optimizer done on my small (1300 samples) but long sequence length (most samples are 4096 tokens) dataset in around an hour with 3x A100s.