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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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metrics:
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- rouge
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model-index:
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- name: mt5-small-finetuned-amazon-en-es
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results: []
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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-en-es
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0884
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- Rouge1: 17.1847
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- Rouge2: 8.3579
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- Rougel: 16.7437
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- Rougelsum: 16.7013
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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: 5
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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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| 7.0911 | 1.0 | 1209 | 3.3147 | 13.5672 | 5.2491 | 13.2852 | 13.2424 |
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| 3.9482 | 2.0 | 2418 | 3.1565 | 16.6427 | 7.9417 | 15.9819 | 15.9061 |
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| 3.6511 | 3.0 | 3627 | 3.1186 | 17.3001 | 8.7502 | 16.7138 | 16.7334 |
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| 3.5201 | 4.0 | 4836 | 3.0969 | 16.7251 | 7.8414 | 16.0046 | 15.9171 |
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| 3.456 | 5.0 | 6045 | 3.0884 | 17.1847 | 8.3579 | 16.7437 | 16.7013 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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