---
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: 3.0221
- Rouge1: 0.0464
- Rouge2: 0.0119
- Rougel: 0.0464
- Rougelsum: 0.0463
- Gen Len: 16.2531

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.0764        | 1.0   | 938  | 3.1099          | 0.0429 | 0.0098 | 0.0428 | 0.0428    | 14.8533 |
| 3.8336        | 2.0   | 1876 | 3.0549          | 0.043  | 0.0103 | 0.0429 | 0.0427    | 15.4201 |
| 3.7839        | 3.0   | 2814 | 3.0356          | 0.0474 | 0.0116 | 0.0472 | 0.0471    | 16.3025 |
| 3.7851        | 4.0   | 3752 | 3.0221          | 0.0464 | 0.0119 | 0.0464 | 0.0463    | 16.2531 |


### Framework versions

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