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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: BBC
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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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# BBC
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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: 0.2824
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- Rouge1: 18.46
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- Rouge2: 17.0488
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- Rougel: 18.3552
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- Rougelsum: 18.3466
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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: 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: 8
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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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| 0.7104 | 1.0 | 445 | 0.3218 | 17.4866 | 15.2567 | 17.0429 | 17.1216 |
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| 0.3433 | 2.0 | 890 | 0.3039 | 17.7632 | 15.8878 | 17.4551 | 17.5161 |
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| 0.3116 | 3.0 | 1335 | 0.2912 | 18.175 | 16.4391 | 17.9597 | 18.0081 |
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| 0.2908 | 4.0 | 1780 | 0.2869 | 18.2832 | 16.6726 | 18.1187 | 18.1205 |
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| 0.273 | 5.0 | 2225 | 0.2829 | 18.2807 | 16.7359 | 18.1496 | 18.1621 |
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| 0.2625 | 6.0 | 2670 | 0.2819 | 18.3845 | 16.8793 | 18.2622 | 18.2561 |
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| 0.2482 | 7.0 | 3115 | 0.2801 | 18.4748 | 17.0796 | 18.3792 | 18.3672 |
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| 0.2454 | 8.0 | 3560 | 0.2824 | 18.46 | 17.0488 | 18.3552 | 18.3466 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu116
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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