metadata

license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b
    results: []
datasets:
  - beomi/KoAlpaca-v1.1a
language:
  - ko

test1_kullm-polyglot-5.8b-v2-koalpaca-v1.1b

This model is a fine-tuned version of nlpai-lab/kullm-polyglot-5.8b-v2 on beomi/KoAlpaca-v1.1a dataset.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3