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

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