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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: 3.0282
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- Rouge1: 17.629
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- Rouge2: 8.5256
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- Rougel: 17.1329
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- Rougelsum: 17.1403
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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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| 6.6665 | 1.0 | 1209 | 3.2917 | 13.9446 | 5.4878 | 13.3696 | 13.3884 |
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| 3.9091 | 2.0 | 2418 | 3.1575 | 16.5515 | 8.4045 | 15.734 | 15.8858 |
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| 3.5987 | 3.0 | 3627 | 3.0803 | 18.4586 | 10.0134 | 17.6448 | 17.8592 |
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| 3.4269 | 4.0 | 4836 | 3.0492 | 17.9493 | 8.9283 | 17.0803 | 17.1683 |
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| 3.3213 | 5.0 | 6045 | 3.0466 | 18.124 | 8.967 | 17.4472 | 17.4445 |
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| 3.2368 | 6.0 | 7254 | 3.0405 | 17.5527 | 8.4814 | 16.9722 | 17.0104 |
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| 3.2039 | 7.0 | 8463 | 3.0335 | 17.5116 | 8.2969 | 17.006 | 17.0084 |
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| 3.1834 | 8.0 | 9672 | 3.0282 | 17.629 | 8.5256 | 17.1329 | 17.1403 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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