---
license: apache-2.0
base_model: IlyaGusev/rut5_base_sum_gazeta
tags:
- summarization_3
- generated_from_trainer
metrics:
- rouge
model-index:
- name: rut5_base_sum_gazeta-finetuned_week_gpt
  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_week_gpt

This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0665
- Rouge1: 38.7802
- Rouge2: 18.8758
- Rougel: 38.1542
- Rougelsum: 38.195

## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| No log        | 1.0   | 555  | 1.1788          | 36.7978 | 17.6912 | 36.1337 | 36.1391   |
| 1.3896        | 2.0   | 1110 | 1.0992          | 37.9462 | 18.6497 | 37.3932 | 37.4791   |
| 1.3896        | 3.0   | 1665 | 1.1053          | 38.8205 | 18.8297 | 38.0614 | 38.1843   |
| 1.1331        | 4.0   | 2220 | 1.1029          | 38.3632 | 18.7051 | 37.654  | 37.7872   |
| 1.1331        | 5.0   | 2775 | 1.0798          | 39.1371 | 18.8761 | 38.4425 | 38.4942   |
| 1.0312        | 6.0   | 3330 | 1.0602          | 38.6421 | 18.9015 | 38.0504 | 38.0638   |
| 1.0312        | 7.0   | 3885 | 1.0650          | 39.2291 | 19.0341 | 38.6098 | 38.6528   |
| 0.975         | 8.0   | 4440 | 1.0665          | 38.7802 | 18.8758 | 38.1542 | 38.195    |


### Framework versions

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