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KoAlpaca-Polyglot-5.8B-dialoguSum_ko_bySolar – AI Model by SummerHotBreeze | AlphaNeural AI

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SummerHotBreeze/
KoAlpaca-Polyglot-5.8B-dialoguSum_ko_bySolar

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beomi/KoAlpaca-Polyglot-5.8B

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KoAlpaca-Polyglot-5.8B-dialoguSum_ko_bySolar

This model is a fine-tuned version of beomi/KoAlpaca-Polyglot-5.8B on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 1.0898
eval_runtime: 77.7261
eval_samples_per_second: 6.42
eval_steps_per_second: 0.811
epoch: 2.0140
step: 1568

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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 20
mixed_precision_training: Native AMP

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.1.0
Datasets 2.21.0
Tokenizers 0.19.1