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sum_model_lr2e_3_20epoch
weny22/sum_model_lr2e_3_20epoch
sum_model_lr2e_3_20epoch is a machine learning model from weny22. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024
- SHA
- d69371e6
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. -->
sum_model_lr2e_3_20epoch
This model is a fine-tuned version of weny22/sum_model_t5_saved on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0536
- Rouge1: 0.2178
- Rouge2: 0.0887
- Rougel: 0.1786
- Rougelsum: 0.1788
- Gen Len: 18.982
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: 0.002
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 335 | 2.1360 | 0.1968 | 0.0675 | 0.1569 | 0.1571 | 18.9787 |
| 2.7013 | 2.0 | 670 | 2.0015 | 0.2028 | 0.0743 | 0.1642 | 0.1644 | 18.9833 |
| 2.149 | 3.0 | 1005 | 1.9683 | 0.2131 | 0.083 | 0.1727 | 0.173 | 18.974 |
| 2.149 | 4.0 | 1340 | 1.9278 | 0.2094 | 0.0829 | 0.1705 | 0.1708 | 18.9753 |
| 1.929 | 5.0 | 1675 | 1.9005 | 0.2159 | 0.0861 | 0.1766 | 0.1767 | 18.9753 |
| 1.8038 | 6.0 | 2010 | 1.9047 | 0.2155 | 0.086 | 0.1745 | 0.1747 | 18.9867 |
| 1.8038 | 7.0 | 2345 | 1.9229 | 0.2147 | 0.0869 | 0.1746 | 0.1749 | 18.9887 |
| 1.6671 | 8.0 | 2680 | 1.8959 | 0.214 | 0.0866 | 0.1757 | 0.1761 | 18.9747 |
| 1.5832 | 9.0 | 3015 | 1.9048 | 0.2163 | 0.0865 | 0.176 | 0.1762 | 18.98 |
| 1.5832 | 10.0 | 3350 | 1.8947 | 0.217 | 0.0871 | 0.1769 | 0.1771 | 18.984 |
| 1.4739 | 11.0 | 3685 | 1.9152 | 0.2147 | 0.0882 | 0.1766 | 0.1769 | 18.97 |
| 1.4101 | 12.0 | 4020 | 1.9340 | 0.2148 | 0.0876 | 0.1767 | 0.1769 | 18.986 |
| 1.4101 | 13.0 | 4355 | 1.9522 | 0.2136 | 0.0857 | 0.1742 | 0.1745 | 18.9887 |
| 1.3249 | 14.0 | 4690 | 1.9670 | 0.2187 | 0.0902 | 0.1792 | 0.1795 | 18.9893 |
| 1.2673 | 15.0 | 5025 | 1.9860 | 0.2169 | 0.0881 | 0.1782 | 0.1785 | 18.9947 |
| 1.2673 | 16.0 | 5360 | 1.9971 | 0.2162 | 0.0867 | 0.1777 | 0.178 | 18.9673 |
| 1.2021 | 17.0 | 5695 | 2.0146 | 0.2163 | 0.0877 | 0.177 | 0.1773 | 18.9893 |
| 1.1621 | 18.0 | 6030 | 2.0313 | 0.2171 | 0.0887 | 0.1778 | 0.1779 | 18.986 |
| 1.1621 | 19.0 | 6365 | 2.0466 | 0.2182 | 0.0893 | 0.1791 | 0.1792 | 18.9873 |
| 1.1192 | 20.0 | 6700 | 2.0536 | 0.2178 | 0.0887 | 0.1786 | 0.1788 | 18.982 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Mar 19, 2024
- Updated
- Mar 19, 2024