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