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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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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: t5-small-samsum |
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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-samsum |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6707 |
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- Rouge1: 43.8206 |
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- Rouge2: 19.9652 |
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- Rougel: 36.0416 |
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- Rougelsum: 40.0887 |
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- Gen Len: 17.0305 |
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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: 5e-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: 10 |
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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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| 2.016 | 1.0 | 1842 | 1.7872 | 40.6656 | 17.0772 | 33.6487 | 37.3124 | 16.9829 | |
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| 1.8798 | 2.0 | 3684 | 1.7375 | 42.1059 | 18.6064 | 35.0368 | 38.6458 | 16.7045 | |
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| 1.8219 | 3.0 | 5526 | 1.7062 | 43.2636 | 19.4321 | 35.6415 | 39.5613 | 16.8266 | |
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| 1.77 | 4.0 | 7368 | 1.6990 | 43.2211 | 19.5021 | 35.5155 | 39.6933 | 17.1905 | |
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| 1.7408 | 5.0 | 9210 | 1.6878 | 43.9084 | 19.8501 | 36.2255 | 40.2666 | 16.7766 | |
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| 1.7113 | 6.0 | 11052 | 1.6816 | 44.0573 | 20.1359 | 36.426 | 40.4933 | 16.9829 | |
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| 1.692 | 7.0 | 12894 | 1.6771 | 43.9234 | 19.9018 | 36.0759 | 40.1654 | 16.9158 | |
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| 1.6771 | 8.0 | 14736 | 1.6723 | 43.5824 | 19.8023 | 35.9709 | 39.963 | 16.9731 | |
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| 1.6604 | 9.0 | 16578 | 1.6718 | 43.8502 | 19.9263 | 36.157 | 40.1653 | 17.0134 | |
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| 1.6575 | 10.0 | 18420 | 1.6707 | 43.8206 | 19.9652 | 36.0416 | 40.0887 | 17.0305 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.2 |
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