This model is a instruct-tuned poylglot-ko-5.8b model, using full [Kullm, OIG, KoAlpaca] Instruction dataset. koquality_raw.json -> 96step

Training hyperparameters

  • learning_rate: 5e-5
  • seed: 42
  • distributed_type: multi-GPU (A100 80G)
  • num_devices: 6
  • train_batch_size: 4
  • gradient_accumulation_steps: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5.0

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.6
  • deepspeed 0.11.1
  • accelerate 0.24.1
Downloads last month
2,699
Safetensors
Model size
12.9B params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for nayohan/polyglot-ko-12.8b-Inst-All

Finetuned
(11)
this model

Dataset used to train nayohan/polyglot-ko-12.8b-Inst-All