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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: 3.0134
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- Rouge1: 15.9126
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- Rouge2: 7.2527
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- Rougel: 15.474
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- Rougelsum: 15.4686
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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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| 3.6983 | 1.0 | 1209 | 3.2107 | 16.6172 | 8.5236 | 15.898 | 15.9553 |
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| 3.6379 | 2.0 | 2418 | 3.0731 | 16.4382 | 7.6292 | 15.8204 | 15.9041 |
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| 3.4344 | 3.0 | 3627 | 3.0456 | 17.4139 | 8.5795 | 16.8805 | 16.9012 |
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| 3.3049 | 4.0 | 4836 | 3.0279 | 17.3026 | 8.2542 | 16.8521 | 16.8026 |
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| 3.2357 | 5.0 | 6045 | 3.0383 | 16.6803 | 7.4959 | 16.2268 | 16.2583 |
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| 3.1688 | 6.0 | 7254 | 3.0127 | 16.641 | 7.6987 | 16.2072 | 16.2232 |
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| 3.1377 | 7.0 | 8463 | 3.0172 | 16.1591 | 7.5274 | 15.7203 | 15.7465 |
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| 3.1104 | 8.0 | 9672 | 3.0134 | 15.9126 | 7.2527 | 15.474 | 15.4686 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 1.13.1
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- Datasets 2.11.0
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- Tokenizers 0.13.0.dev0
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