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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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- 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-article
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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-article
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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: 1.2831
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- Rouge1: 39.2788
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- Rouge2: 22.0027
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- Rougel: 34.4032
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- Rougelsum: 37.0456
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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: 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: 1
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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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| 1.5798 | 1.0 | 3760 | 1.2831 | 39.2788 | 22.0027 | 34.4032 | 37.0456 |
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### Framework versions
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- Transformers 4.28.0
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- Pytorch 1.13.1+cu117
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- Datasets 2.19.0
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- Tokenizers 0.13.3
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