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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- summarization
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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: t5-base-news_headlines
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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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# t5-base-news_headlines
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0458
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- Rouge1: 54.4139
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- Rouge2: 37.646
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- Rougel: 52.7585
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- Rougelsum: 52.7718
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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: 5.6e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 2.0018 | 1.0 | 1531 | 1.5329 | 43.1551 | 22.8869 | 40.7905 | 40.8246 |
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| 1.574 | 2.0 | 3062 | 1.3419 | 46.5375 | 26.8791 | 44.41 | 44.4587 |
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| 1.3702 | 3.0 | 4593 | 1.2201 | 48.6514 | 29.6228 | 46.6431 | 46.7098 |
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| 1.2289 | 4.0 | 6124 | 1.1366 | 51.7488 | 33.7562 | 50.0123 | 50.0537 |
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| 1.126 | 5.0 | 7655 | 1.0810 | 52.9846 | 35.6371 | 51.3321 | 51.3433 |
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| 1.0569 | 6.0 | 9186 | 1.0585 | 53.8125 | 36.646 | 52.1451 | 52.1865 |
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| 1.0105 | 7.0 | 10717 | 1.0458 | 54.4139 | 37.646 | 52.7585 | 52.7718 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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