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---
license: apache-2.0
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0340
- Rouge1: 17.354
- Rouge2: 8.4787
- Rougel: 17.1305
- Rougelsum: 17.0075
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.0197 | 1.0 | 1209 | 3.3037 | 13.683 | 5.3875 | 13.0828 | 13.1122 |
| 3.9145 | 2.0 | 2418 | 3.1418 | 15.5264 | 7.4742 | 14.8131 | 14.7471 |
| 3.5987 | 3.0 | 3627 | 3.0970 | 17.4004 | 8.5468 | 16.8991 | 16.8763 |
| 3.4274 | 4.0 | 4836 | 3.0672 | 16.7503 | 7.9732 | 16.2399 | 16.1352 |
| 3.3241 | 5.0 | 6045 | 3.0648 | 16.6407 | 8.1366 | 16.4552 | 16.3217 |
| 3.2468 | 6.0 | 7254 | 3.0444 | 17.2806 | 8.6183 | 17.0437 | 16.8567 |
| 3.2116 | 7.0 | 8463 | 3.0370 | 17.6282 | 8.6565 | 17.2977 | 17.2007 |
| 3.1821 | 8.0 | 9672 | 3.0340 | 17.354 | 8.4787 | 17.1305 | 17.0075 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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