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polygot-5.8b-koalpaca – AI Model by mssongit | AlphaNeural AI

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mssongit/
polygot-5.8b-koalpaca

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text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

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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

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 (A40 40G)
num_devices: 8
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