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update model card README.md
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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: 3.0229
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- Rouge1: 17.552
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- Rouge2: 8.6159
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- Rougel: 17.3207
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- Rougelsum: 17.1968
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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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| 3.6836 | 1.0 | 1209 | 3.2362 | 17.2827 | 8.6322 | 16.7811 | 16.7223 |
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| 3.6489 | 2.0 | 2418 | 3.0808 | 17.7206 | 8.7236 | 17.0749 | 16.9989 |
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| 3.4263 | 3.0 | 3627 | 3.0574 | 17.9532 | 9.55 | 17.604 | 17.4782 |
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| 3.3129 | 4.0 | 4836 | 3.0444 | 16.8908 | 8.1947 | 16.3227 | 16.2468 |
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| 3.2353 | 5.0 | 6045 | 3.0449 | 17.0334 | 8.1498 | 16.8367 | 16.6738 |
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| 3.1678 | 6.0 | 7254 | 3.0326 | 18.197 | 9.3959 | 18.0328 | 17.86 |
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| 3.1365 | 7.0 | 8463 | 3.0276 | 17.8769 | 9.1995 | 17.5326 | 17.4261 |
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| 3.1118 | 8.0 | 9672 | 3.0229 | 17.552 | 8.6159 | 17.3207 | 17.1968 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.8.0
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- Tokenizers 0.13.2
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