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