Create README.md

README.md

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+---
+license: apache-2.0
+datasets:
+- nlpai-lab/kullm-v2
+language:
+- ko
+---
+
+# KULLM-Polyglot-5.8B-v2
+
+This model is a parameter-efficient fine-tuned version of [EleutherAI/polyglot-ko-5.8b](https://huggingface.co/EleutherAI/polyglot-ko-5.8b) on a KULLM v2 
+
+Detail Codes are available at [KULLM Github Repository](https://github.com/nlpai-lab/KULLM)
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+- learning_rate: 3e-4
+- train_batch_size: 128
+- seed: 42
+- distributed_type: multi-GPU (A100 80G)
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8.0
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.11.0
+- Tokenizers 0.13.3