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kobart-summarization-diary
jjae/kobart-summarization-diary
kobart-summarization-diary is a machine learning model from jjae. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Apr 3, 2024
- Updated
- Aug 1, 2025
- SHA
- 3045bd29
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5089 | 1.23 | 500 | 0.3360 |
| 0.238 | 2.47 | 1000 | 0.3377 |
| 0.1456 | 3.7 | 1500 | 0.3513 |
| 0.0848 | 4.94 | 2000 | 0.3753 |
| 0.0482 | 6.17 | 2500 | 0.4024 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Apr 3, 2024
- Updated
- Aug 1, 2025