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README.md
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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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