jjae/kobart-summarization-diary

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summary2

This model is a fine-tuned version of gogamza/kobart-summarization on Korean Diary Summarization dataset made by GPT‑4 Turbo. It achieves the following results on the evaluation set:

• —Loss: 0.3377

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: 5.6e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 300
• —num_epochs: 50

Training results

Framework versions

• —Transformers 4.39.3
• —Pytorch 2.1.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.0