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---
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library_name: transformers
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license: apache-2.0
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base_model: akahana/mt5-small-google
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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-google-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-google-finetuned-amazon-en-es
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This model is a fine-tuned version of [akahana/mt5-small-google](https://huggingface.co/akahana/mt5-small-google) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.3094
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- Model Preparation Time: 0.0043
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- Rouge1: 3.9907
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- Rouge2: 0.0
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- Rougel: 3.728
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- Rougelsum: 3.7451
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|:------:|:---------:|
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| 36.3235 | 1.0 | 1209 | 10.4603 | 0.0043 | 1.9526 | 0.0 | 1.9645 | 1.9549 |
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| 10.1253 | 2.0 | 2418 | 7.8354 | 0.0043 | 2.7987 | 0.0 | 2.738 | 2.7197 |
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| 8.2571 | 3.0 | 3627 | 7.1225 | 0.0043 | 2.7838 | 0.0 | 2.7297 | 2.7215 |
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| 7.5278 | 4.0 | 4836 | 6.7621 | 0.0043 | 3.6597 | 0.0 | 3.4788 | 3.4724 |
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| 7.1356 | 5.0 | 6045 | 6.5444 | 0.0043 | 3.8173 | 0.0 | 3.5713 | 3.5866 |
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| 6.8907 | 6.0 | 7254 | 6.3968 | 0.0043 | 3.8173 | 0.0 | 3.5334 | 3.5352 |
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| 6.753 | 7.0 | 8463 | 6.3399 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
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| 6.6743 | 8.0 | 9672 | 6.3094 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
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### Framework versions
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- Transformers 4.54.1
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- Pytorch 2.5.1+cu121
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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