---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-xlsum-ru-en-new-2
  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-new-2

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: 2.0145
- Rouge1: 20.4759
- Rouge2: 6.8803
- Rougel: 16.8811
- Rougelsum: 16.915

## 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: 0.0004
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 2.8481        | 1.0   | 46096  | 2.2700          | 18.2746 | 5.3316 | 14.9101 | 14.9397   |
| 2.4194        | 2.0   | 92192  | 2.1316          | 19.6083 | 6.2946 | 16.1841 | 16.2019   |
| 2.2221        | 3.0   | 138288 | 2.0509          | 20.0895 | 6.5514 | 16.5405 | 16.5662   |
| 2.143         | 4.0   | 184384 | 2.0145          | 20.4759 | 6.8803 | 16.8811 | 16.915    |


### Framework versions

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