metadata

license: apache-2.0
tags:
  - generated_from_trainer
  - KoRWKV
  - KoAlpaca
model-index:
  - name: KoRWKV-6B-koalpaca-v1.1a
    results: []
datasets:
  - beomi/KoAlpaca-v1.1a
language:
  - ko
library_name: transformers
pipeline_tag: text-generation

KoAlpaca-KoRWKV-6B (v1.1a)

This model is a fine-tuned version of beomi/KoRWKV-6B on an KoAlpaca v1.1a Dataset.

Detail Codes are available at KoAlpaca Github Repository

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 1
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: 1.0
mixed_precision_training: Native AMP
Trained on 1x H100(80G PCI-E) GPU

Framework versions

Transformers 4.29.2
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3