beomi/KoAlpaca-Polyglot-5.8B

Update @ 2023.06.01

• —Add Safetensor sharded model weight (max shard = 1GB)

KoAlpaca-Polyglot-5.8B (v1.1b)

This model is a fine-tuned version of EleutherAI/polyglot-ko-5.8b on a KoAlpaca Dataset v1.1b

Detail Codes are available at KoAlpaca Github Repository

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2.0
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.29.0.dev0
• —Pytorch 2.0.0+cu117
• —Datasets 2.10.1
• —Tokenizers 0.13.2