---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- mlsum
model-index:
- name: rut5_base_sum_gazeta-finetuned-mlsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rut5_base_sum_gazeta-finetuned-mlsum

This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on the mlsum dataset.

## 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: 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: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 13   | 3.4842          | 10.3333 | 0.0    | 10.3333 | 10.3333   | 78.7    |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.1+cpu
- Datasets 2.12.0
- Tokenizers 0.13.3