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README.md
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This model is a instruct-tuned poylglot-ko-5.8b model, using full [Kullm, OIG, KoAlpaca] Instruction dataset.
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koquality_raw.json
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---
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This model is a instruct-tuned poylglot-ko-5.8b model, using full [Kullm, OIG, KoAlpaca] Instruction dataset.
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koquality_raw.json -> 410step
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## Training hyperparameters
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- learning_rate: 5e-5
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- train_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU (A30 24G) + CPU Offloading
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- num_devices: 2
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- gradient_accumulation_steps: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1.0
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## Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.11.0
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- deepspeed 0.9.5
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