---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ru_t5model_for_legalsimplification
  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. -->

# ru_t5model_for_legalsimplification

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: nan
- Rouge1: 0.5364
- Rouge2: 0.1481
- Rougel: 0.506
- Rougelsum: 0.4917
- Gen Len: 163.03

## 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: 0.002
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 157  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| No log        | 2.0   | 314  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| No log        | 3.0   | 471  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 4.0   | 628  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 5.0   | 785  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 6.0   | 942  | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 7.0   | 1099 | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 8.0   | 1256 | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 9.0   | 1413 | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |
| 0.0           | 10.0  | 1570 | nan             | 0.5364 | 0.1481 | 0.506  | 0.4917    | 163.03  |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1