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
- train_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2
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Model tree for beomi/KoAlpaca-Polyglot-5.8B
Base model
EleutherAI/polyglot-ko-5.8b