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kobart-base-v2-2932-korean
ryusangwon/kobart-base-v2-2932-korean
kobart-base-v2-2932-korean is a machine learning model from ryusangwon. 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
- Jan 30, 2024
- Updated
- Jan 30, 2024
- SHA
- e2b97a35
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. -->
kobart-base-v2-2932-korean
This model is a fine-tuned version of gogamza/kobart-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2633
- Rouge1: 0.36
- Rouge2: 0.1465
- Rougel: 0.3537
- Rougelsum: 0.3538
- Gen Len: 19.9992
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2804 | 1.44 | 500 | 0.2805 | 0.3394 | 0.1272 | 0.3346 | 0.3344 | 20.0 |
| 0.2127 | 2.88 | 1000 | 0.2490 | 0.3512 | 0.1374 | 0.3461 | 0.3459 | 19.9992 |
| 0.1409 | 4.33 | 1500 | 0.2504 | 0.3594 | 0.1429 | 0.3527 | 0.3524 | 20.0 |
| 0.1208 | 5.77 | 2000 | 0.2506 | 0.3607 | 0.1436 | 0.3536 | 0.3538 | 20.0 |
| 0.0866 | 7.21 | 2500 | 0.2603 | 0.3657 | 0.1466 | 0.3589 | 0.3593 | 20.0 |
| 0.0782 | 8.65 | 3000 | 0.2633 | 0.36 | 0.1465 | 0.3537 | 0.3538 | 19.9992 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024