---
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-text-sum-7
  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-text-sum-7

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3801
- Rouge1: 20.58
- Rouge2: 6.51
- Rougel: 20.26

## 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: 0.0001
- train_batch_size: 13
- eval_batch_size: 13
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 4.4436        | 2.09  | 500  | 2.5528          | 17.73  | 5.9    | 17.55  |
| 3.0439        | 4.18  | 1000 | 2.4974          | 18.76  | 5.73   | 18.64  |
| 2.822         | 6.28  | 1500 | 2.4043          | 17.82  | 5.09   | 17.68  |
| 2.6799        | 8.37  | 2000 | 2.3938          | 18.9   | 5.73   | 18.62  |
| 2.5687        | 10.46 | 2500 | 2.3617          | 19.0   | 5.76   | 18.73  |
| 2.4701        | 12.55 | 3000 | 2.3455          | 19.82  | 6.14   | 19.54  |
| 2.3917        | 14.64 | 3500 | 2.3801          | 20.58  | 6.51   | 20.26  |
| 2.3427        | 16.74 | 4000 | 2.3407          | 19.52  | 6.49   | 19.23  |
| 2.2811        | 18.83 | 4500 | 2.3544          | 18.82  | 5.75   | 18.43  |
| 2.2347        | 20.92 | 5000 | 2.3503          | 20.17  | 6.08   | 19.76  |
| 2.1884        | 23.01 | 5500 | 2.3586          | 20.25  | 6.06   | 19.9   |
| 2.1414        | 25.1  | 6000 | 2.3507          | 19.94  | 6.31   | 19.61  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2