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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: mt5-small-finetuned-amazon-es
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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: es
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split: validation
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args: es
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metrics:
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- name: Rouge1
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type: rouge
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value: 12.5959
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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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# mt5-small-finetuned-amazon-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-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: 2.8877
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- Rouge1: 12.5959
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- Rouge2: 6.541
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- Rougel: 12.4351
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- Rougelsum: 12.2872
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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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| 10.7598 | 1.0 | 439 | 3.3647 | 6.8015 | 1.522 | 6.7566 | 6.6935 |
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| 4.6043 | 2.0 | 878 | 3.0154 | 13.0236 | 4.258 | 12.8286 | 12.8619 |
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| 4.0593 | 3.0 | 1317 | 2.9726 | 12.6059 | 5.7546 | 12.2192 | 12.2128 |
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| 3.82 | 4.0 | 1756 | 2.9247 | 14.4714 | 5.7779 | 14.1695 | 14.1091 |
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| 3.6676 | 5.0 | 2195 | 2.9124 | 13.3845 | 6.7018 | 13.2512 | 13.1154 |
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| 3.5678 | 6.0 | 2634 | 2.8913 | 12.9049 | 6.2959 | 12.7556 | 12.6255 |
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| 3.4971 | 7.0 | 3073 | 2.8911 | 12.7622 | 6.5549 | 12.631 | 12.4987 |
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| 3.4737 | 8.0 | 3512 | 2.8877 | 12.5959 | 6.541 | 12.4351 | 12.2872 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cpu
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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