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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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