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

# summary_train

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: 2.4938
- Rouge1: 0.2611
- Rouge2: 0.0697
- Rougel: 0.2105
- Rougelsum: 0.2108

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.7973        | 1.0   | 23107  | 2.7960          | 0.2364 | 0.0537 | 0.1893 | 0.1895    |
| 3.184         | 2.0   | 46214  | 2.6606          | 0.2491 | 0.0608 | 0.1994 | 0.1997    |
| 3.0337        | 3.0   | 69321  | 2.5828          | 0.2536 | 0.0645 | 0.2038 | 0.2042    |
| 2.9501        | 4.0   | 92428  | 2.5492          | 0.2584 | 0.0675 | 0.2080 | 0.2084    |
| 2.8958        | 5.0   | 115535 | 2.5198          | 0.2588 | 0.0678 | 0.2083 | 0.2086    |
| 2.8594        | 6.0   | 138642 | 2.5048          | 0.2593 | 0.0685 | 0.2089 | 0.2093    |
| 2.8376        | 7.0   | 161749 | 2.4979          | 0.2603 | 0.0691 | 0.2099 | 0.2102    |
| 2.8234        | 8.0   | 184856 | 2.4938          | 0.2611 | 0.0697 | 0.2105 | 0.2108    |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0