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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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datasets: |
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- amazon_reviews_multi |
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metrics: |
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- rouge |
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model-index: |
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- name: t5-finetuned-amazon-english |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: amazon_reviews_multi |
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type: amazon_reviews_multi |
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config: en |
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split: train |
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args: en |
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metrics: |
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- name: Rouge1 |
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type: rouge |
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value: 19.1814 |
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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-finetuned-amazon-english |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the amazon_reviews_multi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.1713 |
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- Rouge1: 19.1814 |
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- Rouge2: 9.8673 |
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- Rougel: 18.1982 |
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- Rougelsum: 18.2963 |
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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: 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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| 3.3583 | 1.0 | 771 | 3.2513 | 16.6865 | 9.0598 | 15.8299 | 15.8472 | |
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| 3.1022 | 2.0 | 1542 | 3.2147 | 16.8499 | 9.4849 | 16.1568 | 16.2437 | |
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| 3.0067 | 3.0 | 2313 | 3.1718 | 16.9516 | 8.762 | 16.104 | 16.2186 | |
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| 2.9482 | 4.0 | 3084 | 3.1854 | 18.9582 | 9.5416 | 18.0846 | 18.2938 | |
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| 2.8934 | 5.0 | 3855 | 3.1669 | 18.857 | 9.934 | 17.9027 | 18.0272 | |
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| 2.8389 | 6.0 | 4626 | 3.1782 | 18.6736 | 9.326 | 17.6943 | 17.8852 | |
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| 2.8174 | 7.0 | 5397 | 3.1709 | 18.4342 | 9.6936 | 17.5714 | 17.6516 | |
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| 2.8 | 8.0 | 6168 | 3.1713 | 19.1814 | 9.8673 | 18.1982 | 18.2963 | |
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### Framework versions |
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- Transformers 4.22.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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