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KoT5-test-add-data-prefix-summary
hyorea1/KoT5-test-add-data-prefix-summary
KoT5-test-add-data-prefix-summary 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 19, 2022
- Updated
- Dec 19, 2022
- SHA
- f51f7cf7
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-prefix-summary
This model is a fine-tuned version of hyorea1/KoT5-test-add-data-prefix-summary on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1781
- Rouge1: 11.8533
- Rouge2: 2.9172
- Rougel: 11.715
- Rougelsum: 11.7278
- Gen Len: 35.164
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4974 | 0.32 | 800 | 1.1935 | 11.0529 | 3.0383 | 10.9308 | 10.9481 | 34.8809 |
| 1.0394 | 0.64 | 1600 | 1.1979 | 11.2828 | 2.8757 | 11.1691 | 11.1952 | 35.6412 |
| 1.2385 | 0.97 | 2400 | 1.1914 | 10.8007 | 3.0248 | 10.696 | 10.7022 | 34.8081 |
| 1.4298 | 1.29 | 3200 | 1.1916 | 10.8949 | 2.9547 | 10.8037 | 10.832 | 34.7934 |
| 1.3735 | 1.61 | 4000 | 1.1887 | 11.8127 | 3.2642 | 11.7143 | 11.7263 | 35.4331 |
| 1.5772 | 1.93 | 4800 | 1.1794 | 11.3157 | 3.1017 | 11.2215 | 11.2237 | 34.3051 |
| 1.2179 | 2.25 | 5600 | 1.1809 | 11.841 | 2.8297 | 11.7283 | 11.7173 | 35.0522 |
| 1.2903 | 2.58 | 6400 | 1.1779 | 11.6353 | 2.8495 | 11.5117 | 11.544 | 34.95 |
| 1.461 | 2.9 | 7200 | 1.1781 | 11.8533 | 2.9172 | 11.715 | 11.7278 | 35.164 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Dec 19, 2022
- Updated
- Dec 19, 2022