metadata

library_name: transformers
license: llama3
base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B
tags:
  - llama-factory
  - full
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: pogny
    results: []

pogny

This model is a fine-tuned version of MLP-KTLim/llama-3-Korean-Bllossom-8B on the alpaca_en_demo dataset. It achieves the following results on the evaluation set:

Loss: 1.2285
Accuracy: 0.6567

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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 8
total_train_batch_size: 48
total_eval_batch_size: 3
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1.0

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.2.0a0+81ea7a4
Datasets 2.17.1
Tokenizers 0.19.1