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@@ -15,4 +15,22 @@ model-index:
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  - name: KoAlpaca-Polyglot-5.8B
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  results: []
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  ---
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- This model is a test version that was learned by integrating several Instruction datasets. The final version can be found at [DILAB-HYU/KoQuality-Polyglot-5.8b](https://huggingface.co/DILAB-HYU/KoQuality-Polyglot-5.8b).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - name: KoAlpaca-Polyglot-5.8B
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  results: []
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  ---
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+ This model is a test version that was learned by integrating several Instruction datasets. The final version can be found at [DILAB-HYU/KoQuality-Polyglot-5.8b](https://huggingface.co/DILAB-HYU/KoQuality-Polyglot-5.8b).
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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: 2.0
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+
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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