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lora-alpaca – AI Model by YjDh | AlphaNeural AI

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YjDh/
lora-alpaca

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EleutherAI/polyglot-ko-12.8b

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lora-alpaca

This model is a fine-tuned version of EleutherAI/polyglot-ko-12.8b on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.2715
eval_runtime: 715.7284
eval_samples_per_second: 2.794
eval_steps_per_second: 0.349
epoch: 0.98
step: 4600

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 1
mixed_precision_training: Native AMP

Framework versions

PEFT 0.8.2
Transformers 4.37.2
Pytorch 1.13.1+cu117
Datasets 2.17.0
Tokenizers 0.15.2