---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-xlsum-ru-en
  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-xlsum-ru-en

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: 2.2400
- Rouge1: 18.7928
- Rouge2: 5.4469
- Rougel: 15.5062
- Rougelsum: 15.5249

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.8597        | 1.0   | 46096  | 2.3958          | 17.6496 | 4.6706 | 14.4867 | 14.4996   |
| 2.7599        | 2.0   | 92192  | 2.3019          | 18.4841 | 5.2303 | 15.2467 | 15.2666   |
| 2.6495        | 3.0   | 138288 | 2.2553          | 18.5736 | 5.3333 | 15.3459 | 15.3694   |
| 2.5965        | 4.0   | 184384 | 2.2400          | 18.7928 | 5.4469 | 15.5062 | 15.5249   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2