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train_r425_without_outlier_r16_v2 – AI Model by MichaelKim | AlphaNeural AI

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MichaelKim/
train_r425_without_outlier_r16_v2

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yanolja/EEVE-Korean-Instruct-10.8B-v1.0

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train_r425_without_outlier_r16_v2

This model is a fine-tuned version of yanolja/EEVE-Korean-Instruct-10.8B-v1.0 on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 10
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.12.0
Transformers 4.42.4
Pytorch 2.3.1+cu121
Tokenizers 0.19.1