---
license: apache-2.0
tags:
- multilingual model
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-multilingual-xlsum-new
  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-multilingual-xlsum-new

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: 2.7679
- Rouge1: 9.1993
- Rouge2: 2.3416
- Rougel: 7.6684
- Rougelsum: 7.7074

## 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: 5.6e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.9684        | 1.0   | 1687 | 2.8902          | 8.0531 | 1.8357 | 6.7234 | 6.7401    |
| 3.62          | 2.0   | 3374 | 2.8486          | 8.4881 | 2.0178 | 7.0542 | 7.0854    |
| 3.3765        | 3.0   | 5061 | 2.7986          | 8.7796 | 2.2342 | 7.3363 | 7.3645    |
| 3.5043        | 4.0   | 6748 | 2.7677          | 9.0486 | 2.3099 | 7.5493 | 7.5685    |
| 3.338         | 5.0   | 8435 | 2.7679          | 9.1993 | 2.3416 | 7.6684 | 7.7074    |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1