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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: 3.0294
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- Rouge1: 16.4846
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- Rouge2: 7.8849
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- Rougel: 16.2726
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- Rougelsum: 16.2173
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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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| 6.5928 | 1.0 | 1209 | 3.3005 | 14.7927 | 6.4642 | 14.3032 | 14.2436 |
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| 3.9024 | 2.0 | 2418 | 3.1399 | 16.8294 | 8.5707 | 16.1439 | 16.133 |
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| 3.5806 | 3.0 | 3627 | 3.0869 | 18.1262 | 9.1916 | 17.7121 | 17.7184 |
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| 3.4201 | 4.0 | 4836 | 3.0590 | 17.6134 | 8.915 | 17.209 | 17.1519 |
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| 3.3202 | 5.0 | 6045 | 3.0598 | 17.6322 | 8.5392 | 17.4438 | 17.3057 |
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| 3.2436 | 6.0 | 7254 | 3.0409 | 16.7409 | 8.107 | 16.5385 | 16.496 |
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| 3.2079 | 7.0 | 8463 | 3.0332 | 16.722 | 8.0183 | 16.4492 | 16.4297 |
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| 3.1801 | 8.0 | 9672 | 3.0294 | 16.4846 | 7.8849 | 16.2726 | 16.2173 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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