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
{"language": ["ko"], "license": "apache-2.0", "tags": ["polyglot-ko", "gpt-neox", "KoQuality"], "datasets": ["DILAB-HYU/KoQuality"], "pipeline_tag": "text-generation", "base_model": "EleutherAI/polyglot-ko-12.8b"}
transformers safetensors gpt_neox text-generation polyglot-ko gpt-neox KoQuality ko dataset:DILAB-HYU/KoQuality base_model:EleutherAI/polyglot-ko-12.8b license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us