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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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datasets:
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- cnn_dailymail
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metrics:
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- rouge
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model-index:
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- name: t5-small-finetuned-cnn-news
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: cnn_dailymail
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type: cnn_dailymail
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config: 3.0.0
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split: validation
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args: 3.0.0
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metrics:
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- name: Rouge1
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type: rouge
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value: 23.5402
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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-small-finetuned-cnn-news
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the cnn_dailymail dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7209
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- Rouge1: 23.5402
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- Rouge2: 10.8834
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- Rougel: 19.3936
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- Rougelsum: 22.1513
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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: 0.00056
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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: 5
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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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| 2.2531 | 1.0 | 718 | 2.6722 | 23.3437 | 10.5433 | 19.2183 | 21.8989 |
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| 2.1518 | 2.0 | 1436 | 2.7024 | 23.4068 | 10.716 | 19.0751 | 21.9328 |
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| 2.0925 | 3.0 | 2154 | 2.7235 | 23.232 | 10.5236 | 19.2254 | 21.8598 |
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| 2.0808 | 4.0 | 2872 | 2.7309 | 23.7401 | 10.7664 | 19.4651 | 22.2479 |
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| 2.1114 | 5.0 | 3590 | 2.7209 | 23.5402 | 10.8834 | 19.3936 | 22.1513 |
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### Framework versions
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- Transformers 4.27.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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