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---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
datasets:
- amazon_reviews_multi
metrics:
- rouge
model-index:
- name: t5-large-finetuned-amazon-test_2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: amazon_reviews_multi
type: amazon_reviews_multi
config: en
split: validation
args: en
metrics:
- name: Rouge1
type: rouge
value: 15.7824
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-large-finetuned-amazon-test_2
This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the amazon_reviews_multi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3001
- Rouge1: 15.7824
- Rouge2: 5.363
- Rougel: 15.6395
- Rougelsum: 15.4975
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 1.7536 | 1.0 | 1314 | 2.6889 | 15.4715 | 7.1041 | 15.012 | 15.0539 |
| 1.9856 | 2.0 | 2628 | 2.5947 | 15.5517 | 7.607 | 15.2437 | 15.1322 |
| 1.7233 | 3.0 | 3942 | 2.7304 | 16.8701 | 7.3701 | 16.6526 | 16.4333 |
| 1.5162 | 4.0 | 5256 | 2.8605 | 16.278 | 6.2082 | 16.114 | 16.0542 |
| 1.3537 | 5.0 | 6570 | 2.9747 | 15.8483 | 5.8158 | 15.5124 | 15.4393 |
| 1.2302 | 6.0 | 7884 | 3.1345 | 15.6894 | 5.516 | 15.5049 | 15.2841 |
| 1.141 | 7.0 | 9198 | 3.2224 | 15.7304 | 6.131 | 15.7835 | 15.5706 |
| 1.0733 | 8.0 | 10512 | 3.3001 | 15.7824 | 5.363 | 15.6395 | 15.4975 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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