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update model card README.md
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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: bbc_news_summary_model
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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_news_summary_model
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3238
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- Rouge1: 0.2026
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- Rouge2: 0.145
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- Rougel: 0.1843
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- Rougelsum: 0.1844
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- Gen Len: 18.9865
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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: 2e-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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 223 | 0.4221 | 0.189 | 0.1251 | 0.1664 | 0.1666 | 19.0 |
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| No log | 2.0 | 446 | 0.3585 | 0.1931 | 0.1321 | 0.1724 | 0.1727 | 19.0 |
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| 0.7174 | 3.0 | 669 | 0.3370 | 0.1983 | 0.1391 | 0.1784 | 0.1787 | 18.9865 |
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| 0.7174 | 4.0 | 892 | 0.3269 | 0.1994 | 0.1408 | 0.1803 | 0.1803 | 18.9865 |
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| 0.4039 | 5.0 | 1115 | 0.3238 | 0.2026 | 0.145 | 0.1843 | 0.1844 | 18.9865 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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