# qlora-koalpaca-polyglot-12.8b-50step

This model is a fine-tuned version of [beomi/KoAlpaca-Polyglot-12.8B](https://huggingface.co/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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 50
- 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

012shin/qlora-koalpaca-polyglot-12.8b-50step

012shin

qlora-koalpaca-polyglot-12.8b-50step

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012shin/qlora-koalpaca-polyglot-12.8b-50step

qlora-koalpaca-polyglot-12.8b-50step

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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