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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: 0.9947
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- Rouge1: 53.8834
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- Rouge2: 35.147
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- Rougel: 50.8217
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- Rougelsum: 50.9105
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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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| 2.0129 | 1.0 | 1531 | 1.5160 | 44.1037 | 21.8536 | 40.2425 | 40.3433 |
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| 1.6207 | 2.0 | 3062 | 1.2865 | 46.6327 | 25.2538 | 43.0594 | 43.1583 |
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| 1.4243 | 3.0 | 4593 | 1.2410 | 48.3304 | 27.729 | 45.0085 | 45.0977 |
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| 1.2828 | 4.0 | 6124 | 1.1008 | 50.7514 | 30.7978 | 47.5413 | 47.6432 |
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| 1.1796 | 5.0 | 7655 | 1.0646 | 52.4672 | 33.0679 | 49.2593 | 49.3381 |
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| 1.1059 | 6.0 | 9186 | 1.0082 | 53.4044 | 34.4035 | 50.3925 | 50.4943 |
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| 1.0596 | 7.0 | 10717 | 0.9947 | 53.8834 | 35.147 | 50.8217 | 50.9105 |
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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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