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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: 1.1569 |
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- Rouge1: 50.0083 |
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- Rouge2: 29.6819 |
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- Rougel: 46.8393 |
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- Rougelsum: 46.8438 |
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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: 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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| 1.9951 | 1.0 | 1531 | 1.5057 | 44.519 | 22.4497 | 40.7613 | 40.7478 | |
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| 1.6093 | 2.0 | 3062 | 1.3058 | 46.2567 | 24.5777 | 42.6763 | 42.6283 | |
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| 1.4268 | 3.0 | 4593 | 1.2573 | 47.8969 | 27.011 | 44.4848 | 44.4922 | |
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| 1.3068 | 4.0 | 6124 | 1.1890 | 49.6078 | 29.1636 | 46.314 | 46.3458 | |
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| 1.2354 | 5.0 | 7655 | 1.1569 | 50.0083 | 29.6819 | 46.8393 | 46.8438 | |
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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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