---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-lower
  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-lower

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: 2.2645
- Rouge1: 21.3986
- Rouge2: 0.0
- Rougel: 21.4078
- Rougelsum: 21.5242
- Gen Len: 14.4947

## 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: 5e-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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.9469        | 1.0   | 6877  | 2.5088          | 21.3986 | 0.0    | 21.4078 | 21.5242   | 10.4989 |
| 2.6632        | 2.0   | 13754 | 2.3772          | 21.3986 | 0.0    | 21.4078 | 21.5242   | 14.1979 |
| 2.5438        | 3.0   | 20631 | 2.3055          | 21.3986 | 0.0    | 21.4078 | 21.5242   | 14.1095 |
| 2.5355        | 4.0   | 27508 | 2.2747          | 21.3986 | 0.0    | 21.4078 | 21.5242   | 14.3832 |
| 2.4597        | 5.0   | 34385 | 2.2645          | 21.3986 | 0.0    | 21.4078 | 21.5242   | 14.4947 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1