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qlora-koalpaca-polyglot-12.8b-QA

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qlora-koalpaca-polyglot-12.8b-QA

This model is a fine-tuned version of beomi/KoAlpaca-Polyglot-12.8B on the None 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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.11.2.dev0
Transformers 4.42.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

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Inference API

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Model tree for 012shin/qlora-koalpaca-polyglot-12.8b-QA

Base model

EleutherAI/polyglot-ko-12.8b

Finetuned

beomi/KoAlpaca-Polyglot-12.8B

Adapter

(8)

this model

Evaluation results

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