---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: EleutherAI/polyglot-ko-12.8b
model-index:
- name: lora-alpaca
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# lora-alpaca

This model is a fine-tuned version of [EleutherAI/polyglot-ko-12.8b](https://huggingface.co/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