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---
library_name: transformers
license: apache-2.0
base_model: akahana/mt5-small-google
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-google-finetuned-amazon-en-es
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-small-google-finetuned-amazon-en-es
This model is a fine-tuned version of [akahana/mt5-small-google](https://huggingface.co/akahana/mt5-small-google) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.3094
- Model Preparation Time: 0.0043
- Rouge1: 3.9907
- Rouge2: 0.0
- Rougel: 3.728
- Rougelsum: 3.7451
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:------:|:------:|:---------:|
| 36.3235 | 1.0 | 1209 | 10.4603 | 0.0043 | 1.9526 | 0.0 | 1.9645 | 1.9549 |
| 10.1253 | 2.0 | 2418 | 7.8354 | 0.0043 | 2.7987 | 0.0 | 2.738 | 2.7197 |
| 8.2571 | 3.0 | 3627 | 7.1225 | 0.0043 | 2.7838 | 0.0 | 2.7297 | 2.7215 |
| 7.5278 | 4.0 | 4836 | 6.7621 | 0.0043 | 3.6597 | 0.0 | 3.4788 | 3.4724 |
| 7.1356 | 5.0 | 6045 | 6.5444 | 0.0043 | 3.8173 | 0.0 | 3.5713 | 3.5866 |
| 6.8907 | 6.0 | 7254 | 6.3968 | 0.0043 | 3.8173 | 0.0 | 3.5334 | 3.5352 |
| 6.753 | 7.0 | 8463 | 6.3399 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
| 6.6743 | 8.0 | 9672 | 6.3094 | 0.0043 | 3.9907 | 0.0 | 3.728 | 3.7451 |
### Framework versions
- Transformers 4.54.1
- Pytorch 2.5.1+cu121
- Datasets 4.0.0
- Tokenizers 0.21.4
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