| language: | |
| - ko | |
| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| - polyglot-ko | |
| - gpt-neox | |
| - KoAlpaca | |
| datasets: | |
| - KoAlpaca-v1.1b | |
| pipeline_tag: text-generation | |
| base_model: EleutherAI/polyglot-ko-12.8b | |
| model-index: | |
| - name: KoAlpaca-Polyglot-12.8B | |
| results: [] | |
| Update @ 2023.06.01 | |
| - Add Safetensor sharded model weight (max shard = 1GB) | |
| # KoAlpaca-Polyglot-12.8B (v1.1b) | |
| This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co./EleutherAI/polyglot-ko-12.8b) on a KoAlpaca Dataset v1.1b | |
| Detail Codes are available at [KoAlpaca Github Repository](https://github.com/Beomi/KoAlpaca) | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-05 | |
| - train_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU (A100 80G) | |
| - num_devices: 4 | |
| - gradient_accumulation_steps: 64 | |
| - total_train_batch_size: 256 | |
| - total_eval_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2.0 | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 2.0.0+cu117 | |
| - Datasets 2.11.0 | |
| - Tokenizers 0.13.3 |