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

# working

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: 3.1953
- Rouge1: 0.0416
- Rouge2: 0.0103
- Rougel: 0.0411
- Rougelsum: 0.0412
- Gen Len: 13.6933

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 9.9902        | 1.0   | 938  | 3.5849          | 0.0198 | 0.0053 | 0.0196 | 0.0197    | 11.0792 |
| 4.5579        | 2.0   | 1876 | 3.2813          | 0.024  | 0.0067 | 0.0239 | 0.024     | 12.9491 |
| 4.2559        | 3.0   | 2814 | 3.2169          | 0.0396 | 0.0093 | 0.0391 | 0.0393    | 13.7149 |
| 4.1769        | 4.0   | 3752 | 3.1953          | 0.0416 | 0.0103 | 0.0411 | 0.0412    | 13.6933 |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3