tensorboard safetensors mt5 generated_from_trainer summarization base_model:google/mt5-small base_model:finetune:google/mt5-small license:apache-2.0 region:us
---
base_model: google/mt5-small
license: apache-2.0
metrics:
- rouge
pipeline_tag: summarization
tags:
- generated_from_trainer
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: 3.0397
- Rouge1: 16.98
- Rouge2: 7.8929
- Rougel: 16.3644
- Rougelsum: 16.4476

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 7.8974        | 1.0   | 1209 | 3.3189          | 13.3079 | 4.9395 | 12.9401 | 12.9378   |
| 3.9255        | 2.0   | 2418 | 3.1756          | 16.2829 | 7.8355 | 15.7221 | 15.7776   |
| 3.5938        | 3.0   | 3627 | 3.1217          | 18.6193 | 9.6297 | 17.7226 | 17.8895   |
| 3.4294        | 4.0   | 4836 | 3.1036          | 17.6104 | 8.5851 | 16.8473 | 16.8296   |
| 3.3129        | 5.0   | 6045 | 3.0564          | 15.8986 | 7.3515 | 15.3339 | 15.4281   |
| 3.2488        | 6.0   | 7254 | 3.0497          | 16.7475 | 7.9259 | 16.0704 | 16.1902   |
| 3.2162        | 7.0   | 8463 | 3.0390          | 16.6901 | 8.201  | 16.3029 | 16.3853   |
| 3.1883        | 8.0   | 9672 | 3.0397          | 16.98   | 7.8929 | 16.3644 | 16.4476   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1