---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- null
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    metrics:
    - name: Rouge1
      type: rouge
      value: 8.8272
---

<!-- 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: 3.3342
- Rouge1: 8.8272
- Rouge2: 2.5114
- Rougel: 8.6749
- Rougelsum: 8.6722
- Gen Len: 4.2877

## 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: 2e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 9.4562        | 1.0   | 2202 | 3.5591          | 6.6009 | 1.7239 | 6.5036 | 6.5228    | 3.4434  |
| 4.6481        | 2.0   | 4404 | 3.3600          | 7.3535 | 1.9174 | 7.2846 | 7.3053    | 3.809   |
| 4.3333        | 3.0   | 6606 | 3.3342          | 8.8272 | 2.5114 | 8.6749 | 8.6722    | 4.2877  |


### Framework versions

- Transformers 4.10.3
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3