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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: pep_summarization |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# pep_summarization |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0564 |
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- Rouge1: 89.1468 |
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- Rouge2: 88.6354 |
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- Rougel: 89.0016 |
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- Rougelsum: 89.0138 |
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- Gen Len: 63.7246 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| No log | 1.0 | 69 | 0.0463 | 84.7175 | 84.1187 | 84.7778 | 84.4607 | 74.1884 | |
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| No log | 2.0 | 138 | 0.0312 | 87.2197 | 86.9176 | 87.1927 | 87.1243 | 70.0 | |
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| No log | 3.0 | 207 | 0.0357 | 87.3839 | 87.2143 | 87.4316 | 87.3834 | 68.0580 | |
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| No log | 4.0 | 276 | 0.0334 | 87.8426 | 87.5124 | 87.8504 | 87.7767 | 68.0580 | |
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| No log | 5.0 | 345 | 0.0330 | 89.2541 | 88.8329 | 89.2476 | 89.1951 | 65.8551 | |
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| No log | 6.0 | 414 | 0.0352 | 89.8437 | 89.6094 | 90.0088 | 89.8354 | 67.9565 | |
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| No log | 7.0 | 483 | 0.0351 | 87.6113 | 87.1275 | 87.5987 | 87.4656 | 68.8841 | |
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| 0.0508 | 8.0 | 552 | 0.0346 | 90.0332 | 89.523 | 89.93 | 89.9648 | 64.9275 | |
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| 0.0508 | 9.0 | 621 | 0.0341 | 90.2056 | 89.7318 | 90.0764 | 90.1856 | 60.2174 | |
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| 0.0508 | 10.0 | 690 | 0.0405 | 90.2441 | 89.7403 | 90.1241 | 90.1975 | 62.4928 | |
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| 0.0508 | 11.0 | 759 | 0.0422 | 89.9563 | 89.3932 | 89.8517 | 89.919 | 62.6232 | |
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| 0.0508 | 12.0 | 828 | 0.0462 | 88.9553 | 88.5149 | 88.8596 | 88.8863 | 64.5507 | |
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| 0.0508 | 13.0 | 897 | 0.0462 | 88.3505 | 87.8014 | 88.2999 | 88.1348 | 68.6087 | |
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| 0.0508 | 14.0 | 966 | 0.0453 | 89.2841 | 88.7915 | 89.0835 | 89.1838 | 63.7971 | |
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| 0.0047 | 15.0 | 1035 | 0.0475 | 89.207 | 88.8346 | 89.1459 | 89.1182 | 65.4348 | |
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| 0.0047 | 16.0 | 1104 | 0.0526 | 89.7978 | 89.3703 | 89.7601 | 89.7866 | 65.9275 | |
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| 0.0047 | 17.0 | 1173 | 0.0517 | 88.0891 | 87.7321 | 88.1064 | 88.0137 | 66.4058 | |
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| 0.0047 | 18.0 | 1242 | 0.0503 | 90.3002 | 89.7609 | 90.1585 | 90.218 | 62.1014 | |
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| 0.0047 | 19.0 | 1311 | 0.0545 | 88.9807 | 88.5391 | 88.8142 | 88.8417 | 65.6957 | |
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| 0.0047 | 20.0 | 1380 | 0.0547 | 89.2547 | 88.8381 | 89.1517 | 89.158 | 65.1739 | |
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| 0.0047 | 21.0 | 1449 | 0.0560 | 88.2792 | 87.9155 | 88.2849 | 88.1559 | 66.0870 | |
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| 0.0019 | 22.0 | 1518 | 0.0575 | 88.0891 | 87.7321 | 88.1064 | 88.0137 | 66.4058 | |
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| 0.0019 | 23.0 | 1587 | 0.0576 | 87.7192 | 87.309 | 87.7299 | 87.5507 | 66.0435 | |
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| 0.0019 | 24.0 | 1656 | 0.0558 | 89.0175 | 88.5301 | 88.8811 | 88.906 | 64.1594 | |
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| 0.0019 | 25.0 | 1725 | 0.0561 | 89.0175 | 88.5301 | 88.8811 | 88.906 | 64.1594 | |
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| 0.0019 | 26.0 | 1794 | 0.0559 | 90.1169 | 89.6101 | 89.9618 | 90.0139 | 62.4203 | |
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| 0.0019 | 27.0 | 1863 | 0.0569 | 89.1468 | 88.6354 | 89.0016 | 89.0138 | 63.7246 | |
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| 0.0019 | 28.0 | 1932 | 0.0562 | 89.1468 | 88.6354 | 89.0016 | 89.0138 | 63.7246 | |
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| 0.0013 | 29.0 | 2001 | 0.0563 | 89.1468 | 88.6354 | 89.0016 | 89.0138 | 63.7246 | |
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| 0.0013 | 30.0 | 2070 | 0.0564 | 89.1468 | 88.6354 | 89.0016 | 89.0138 | 63.7246 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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