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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: summary_tutorial |
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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: 19.4358 |
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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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# summary_tutorial |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the amazon_reviews_multi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8504 |
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- Rouge1: 19.4358 |
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- Rouge2: 10.0475 |
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- Rougel: 18.6327 |
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- Rougelsum: 18.648 |
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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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| 2.867 | 1.0 | 771 | 2.7687 | 18.7278 | 10.8323 | 17.9617 | 17.8262 | |
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| 2.5363 | 2.0 | 1542 | 2.7741 | 18.4642 | 10.2431 | 17.8719 | 17.7799 | |
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| 2.3516 | 3.0 | 2313 | 2.7578 | 18.4591 | 9.5235 | 18.0114 | 17.8761 | |
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| 2.216 | 4.0 | 3084 | 2.7938 | 20.2372 | 10.7222 | 19.5686 | 19.5045 | |
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| 2.0929 | 5.0 | 3855 | 2.7981 | 19.536 | 10.0232 | 18.7119 | 18.7774 | |
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| 2.0 | 6.0 | 4626 | 2.8229 | 18.5138 | 9.6349 | 17.7119 | 17.782 | |
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| 1.9479 | 7.0 | 5397 | 2.8397 | 19.3795 | 10.0475 | 18.5904 | 18.532 | |
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| 1.9031 | 8.0 | 6168 | 2.8504 | 19.4358 | 10.0475 | 18.6327 | 18.648 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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