---
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-3
  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-3

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: 2.2908
- Rouge1: 5.5296
- Rouge2: 1.2847
- Rougel: 5.4736
- Rougelsum: 5.4929

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
| 3.5647        | 1.0   | 7781  | 2.4279          | 3.7064 | 0.8436 | 3.6826 | 3.6992    |
| 3.0137        | 2.0   | 15562 | 2.3466          | 4.4983 | 0.9015 | 4.4599 | 4.4665    |
| 2.894         | 3.0   | 23343 | 2.3047          | 5.2553 | 1.1766 | 5.1885 | 5.2096    |
| 2.8408        | 4.0   | 31124 | 2.2908          | 5.5296 | 1.2847 | 5.4736 | 5.4929    |


### Framework versions

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