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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-Resumen-2
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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-Resumen-2
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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: 3.0910
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- Rouge1: 16.3799
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- Rouge2: 7.6088
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- Rougel: 15.9886
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- Rougelsum: 16.1691
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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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| 7.004 | 1.0 | 1209 | 3.3408 | 13.3874 | 5.2828 | 12.9812 | 12.9666 |
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| 3.9036 | 2.0 | 2418 | 3.2286 | 15.9158 | 7.7591 | 15.2863 | 15.3932 |
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| 3.598 | 3.0 | 3627 | 3.1778 | 16.0628 | 7.1178 | 15.1227 | 15.2487 |
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| 3.4228 | 4.0 | 4836 | 3.1147 | 15.9998 | 7.6239 | 15.3691 | 15.4711 |
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| 3.3212 | 5.0 | 6045 | 3.1049 | 16.5369 | 7.743 | 16.2272 | 16.3427 |
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| 3.2658 | 6.0 | 7254 | 3.0974 | 17.4125 | 8.0961 | 17.0223 | 17.136 |
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| 3.2105 | 7.0 | 8463 | 3.0911 | 16.5786 | 7.7369 | 16.1889 | 16.3189 |
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| 3.184 | 8.0 | 9672 | 3.0910 | 16.3799 | 7.6088 | 15.9886 | 16.1691 |
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### Framework versions
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- Transformers 4.21.0
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- Pytorch 1.12.0+cu113
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- Datasets 2.4.0
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- Tokenizers 0.12.1
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