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KoT5-test-add-data-from5ep
hyorea1/KoT5-test-add-data-from5ep
KoT5-test-add-data-from5ep is a machine learning model from hyorea1. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Dec 6, 2022
- Updated
- Dec 7, 2022
- SHA
- 4980aa4f
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. -->
KoT5-test-add-data-from5ep
This model is a fine-tuned version of hyorea1/KoT5-test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1737
- Rouge1: 11.8294
- Rouge2: 3.2314
- Rougel: 11.7891
- Rougelsum: 11.8237
- Gen Len: 35.2824
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9029 | 0.16 | 400 | 1.1695 | 12.8243 | 3.2659 | 12.7542 | 12.8276 | 35.5743 |
| 1.7971 | 0.32 | 800 | 1.1646 | 12.259 | 3.0668 | 12.1254 | 12.1927 | 35.2353 |
| 1.4396 | 0.48 | 1200 | 1.1681 | 12.1151 | 3.1908 | 11.9507 | 12.0305 | 35.3125 |
| 1.0945 | 0.64 | 1600 | 1.1703 | 12.0576 | 2.9688 | 11.9292 | 11.9792 | 35.0926 |
| 1.1924 | 0.8 | 2000 | 1.1667 | 11.7835 | 2.9605 | 11.6755 | 11.7318 | 35.3596 |
| 1.3711 | 0.97 | 2400 | 1.1668 | 11.9873 | 3.1107 | 11.9369 | 12.0207 | 34.5309 |
| 1.6031 | 1.13 | 2800 | 1.1673 | 11.6049 | 3.1121 | 11.5527 | 11.5976 | 34.6551 |
| 1.5254 | 1.29 | 3200 | 1.1693 | 11.6803 | 2.8527 | 11.6116 | 11.6829 | 34.8066 |
| 1.641 | 1.45 | 3600 | 1.1737 | 11.8294 | 3.2314 | 11.7891 | 11.8237 | 35.2824 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 6, 2022
- Updated
- Dec 7, 2022