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---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-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-finetuned-amazon-en-es
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7408
- Rouge1: 11.6009
- Rouge2: 2.8728
- Rougel: 11.8004
- Rougelsum: 11.9188
## 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 12.338 | 1.0 | 300 | 5.2256 | 4.1224 | 1.2022 | 4.1645 | 4.2077 |
| 5.5954 | 2.0 | 600 | 3.9721 | 9.005 | 2.1934 | 9.133 | 9.2792 |
| 4.5559 | 3.0 | 900 | 3.8552 | 9.5807 | 2.6302 | 9.511 | 9.5471 |
| 4.1858 | 4.0 | 1200 | 3.8014 | 10.8843 | 2.9462 | 10.9298 | 11.1352 |
| 3.9963 | 5.0 | 1500 | 3.7575 | 13.0171 | 4.7986 | 13.0233 | 12.9146 |
| 3.884 | 6.0 | 1800 | 3.7491 | 11.6897 | 2.8728 | 11.8886 | 12.0365 |
| 3.8293 | 7.0 | 2100 | 3.7408 | 11.4003 | 2.8728 | 11.5425 | 11.6537 |
| 3.7902 | 8.0 | 2400 | 3.7408 | 11.6009 | 2.8728 | 11.8004 | 11.9188 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
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