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---
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 0.0 | 1.0 | 1209 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 2.0 | 2418 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 3.0 | 3627 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 4.0 | 4836 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 5.0 | 6045 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 6.0 | 7254 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 7.0 | 8463 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 8.0 | 9672 | nan | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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