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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-large-finetuned-amazon-test_2 |
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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: validation |
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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: 15.7824 |
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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-large-finetuned-amazon-test_2 |
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the amazon_reviews_multi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3001 |
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- Rouge1: 15.7824 |
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- Rouge2: 5.363 |
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- Rougel: 15.6395 |
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- Rougelsum: 15.4975 |
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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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| 1.7536 | 1.0 | 1314 | 2.6889 | 15.4715 | 7.1041 | 15.012 | 15.0539 | |
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| 1.9856 | 2.0 | 2628 | 2.5947 | 15.5517 | 7.607 | 15.2437 | 15.1322 | |
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| 1.7233 | 3.0 | 3942 | 2.7304 | 16.8701 | 7.3701 | 16.6526 | 16.4333 | |
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| 1.5162 | 4.0 | 5256 | 2.8605 | 16.278 | 6.2082 | 16.114 | 16.0542 | |
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| 1.3537 | 5.0 | 6570 | 2.9747 | 15.8483 | 5.8158 | 15.5124 | 15.4393 | |
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| 1.2302 | 6.0 | 7884 | 3.1345 | 15.6894 | 5.516 | 15.5049 | 15.2841 | |
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| 1.141 | 7.0 | 9198 | 3.2224 | 15.7304 | 6.131 | 15.7835 | 15.5706 | |
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| 1.0733 | 8.0 | 10512 | 3.3001 | 15.7824 | 5.363 | 15.6395 | 15.4975 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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