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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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-small-finetuned-cnn-news |
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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-small-finetuned-cnn-news |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8421 |
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- Rouge1: 24.3896 |
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- Rouge2: 12.1278 |
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- Rougel: 20.4284 |
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- Rougelsum: 23.1568 |
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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: 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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| 2.0267 | 1.0 | 718 | 1.8134 | 24.5126 | 12.0487 | 20.3865 | 23.2129 | |
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| 1.8289 | 2.0 | 1436 | 1.8150 | 24.4837 | 12.142 | 20.5671 | 23.3283 | |
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| 1.6833 | 3.0 | 2154 | 1.8148 | 23.9291 | 11.7959 | 20.0136 | 22.7257 | |
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| 1.576 | 4.0 | 2872 | 1.8271 | 24.2228 | 11.8815 | 20.2007 | 22.9745 | |
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| 1.4965 | 5.0 | 3590 | 1.8421 | 24.3896 | 12.1278 | 20.4284 | 23.1568 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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