---
license: apache-2.0
base_model: IlyaGusev/rut5_base_sum_gazeta
tags:
- summarization_2
- generated_from_trainer
metrics:
- rouge
model-index:
- name: rut5_base_sum_gazeta-finetuned
  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. -->

# rut5_base_sum_gazeta-finetuned

This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1124
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 2.9877        | 1.0   | 12   | 2.3994          | 0.0    | 0.0    | 0.0    | 0.0       |
| 2.5964        | 2.0   | 24   | 2.2629          | 0.0    | 0.0    | 0.0    | 0.0       |
| 2.3873        | 3.0   | 36   | 2.2001          | 0.0    | 0.0    | 0.0    | 0.0       |
| 2.2627        | 4.0   | 48   | 2.1574          | 0.0    | 0.0    | 0.0    | 0.0       |
| 2.1536        | 5.0   | 60   | 2.1319          | 0.0    | 0.0    | 0.0    | 0.0       |
| 2.0937        | 6.0   | 72   | 2.1214          | 0.0    | 0.0    | 0.0    | 0.0       |
| 1.9039        | 7.0   | 84   | 2.1149          | 0.0    | 0.0    | 0.0    | 0.0       |
| 1.9739        | 8.0   | 96   | 2.1124          | 0.0    | 0.0    | 0.0    | 0.0       |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3