---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: mt5-small-finetuned-b8-10-local
  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-finetuned-b8-10-local

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: 3.5178
- Rouge-1: 22.6249
- Rouge-2: 7.9752
- Rouge-l: 20.3546
- Gen Len: 17.0843

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Gen Len | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l |
|:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:-------:|:-------:|
| 5.111         | 1.0   | 1356  | 12.3837 | 4.0081          | 18.105  | 6.0904  | 16.8637 |
| 4.5548        | 2.0   | 2712  | 3.8803  | 19.8119         | 6.9894  | 18.2397 | 14.1547 |
| 4.3667        | 3.0   | 4069  | 3.7301  | 21.0826         | 7.3597  | 19.1813 | 16.1043 |
| 4.1807        | 4.0   | 5426  | 3.6560  | 21.6212         | 7.5877  | 19.5831 | 16.7592 |
| 4.1524        | 5.0   | 6783  | 3.5911  | 22.0587         | 7.6506  | 19.9304 | 16.7987 |
| 4.1061        | 6.0   | 8140  | 3.5603  | 22.1661         | 7.7772  | 19.9915 | 16.8959 |
| 4.0028        | 7.0   | 9497  | 3.5431  | 22.6005         | 7.9698  | 20.3279 | 16.9174 |
| 3.9558        | 8.0   | 10854 | 3.5305  | 22.6074         | 7.9613  | 20.3267 | 17.0914 |
| 3.9647        | 9.0   | 12211 | 3.5207  | 22.5858         | 7.947   | 20.2764 | 17.0981 |
| 4.0044        | 9.99  | 13560 | 3.5178  | 22.6249         | 7.9752  | 20.3546 | 17.0843 |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1