---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
model-index:
- name: deabuse
  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. -->

# deabuse

## Model description

Модель для блюра матерных слов в предложениях, дообученная модель [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) обучалась на искусственном датасете 40к записей.
Полноценно текст блюрит не совсем хорошо, однако по отдельности слова вроде неплохо.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.7858        | 0.05  | 400   | 0.7427          |
| 4.3608        | 0.1   | 800   | 0.4047          |
| 3.2919        | 0.15  | 1200  | 0.2366          |
| 3.2244        | 0.2   | 1600  | 0.2164          |
| 3.2491        | 0.25  | 2000  | 0.1757          |
| 1.6803        | 0.3   | 2400  | 0.1494          |
| 3.2828        | 0.35  | 2800  | 0.1500          |
| 3.39          | 0.4   | 3200  | 0.1510          |
| 0.0933        | 0.45  | 3600  | 0.1524          |
| 3.4757        | 0.5   | 4000  | 0.1423          |
| 3.1424        | 0.55  | 4400  | 0.1460          |
| 0.9616        | 0.6   | 4800  | 0.1178          |
| 2.6271        | 0.65  | 5200  | 0.1178          |
| 1.1441        | 0.7   | 5600  | 0.1190          |
| 3.018         | 0.75  | 6000  | 0.1136          |
| 1.3421        | 0.8   | 6400  | 0.0936          |
| 2.3062        | 0.85  | 6800  | 0.0994          |
| 2.5594        | 0.9   | 7200  | 0.0945          |
| 2.1381        | 0.95  | 7600  | 0.1061          |
| 1.0893        | 1.0   | 8000  | 0.1029          |
| 0.7525        | 1.05  | 8400  | 0.0978          |
| 2.1886        | 1.1   | 8800  | 0.0840          |
| 1.9948        | 1.15  | 9200  | 0.0952          |
| 0.7933        | 1.2   | 9600  | 0.0871          |
| 2.0757        | 1.25  | 10000 | 0.0853          |
| 0.6129        | 1.31  | 10400 | 0.0857          |
| 0.1338        | 1.36  | 10800 | 0.0936          |
| 2.6454        | 1.41  | 11200 | 0.0834          |
| 0.4243        | 1.46  | 11600 | 0.0891          |
| 0.6615        | 1.51  | 12000 | 0.0885          |
| 0.6634        | 1.56  | 12400 | 0.0942          |
| 0.5665        | 1.61  | 12800 | 0.0808          |
| 0.6661        | 1.66  | 13200 | 0.1021          |
| 1.1028        | 1.71  | 13600 | 0.0820          |
| 1.5217        | 1.76  | 14000 | 0.0769          |
| 0.7644        | 1.81  | 14400 | 0.0771          |
| 1.3725        | 1.86  | 14800 | 0.0800          |
| 0.846         | 1.91  | 15200 | 0.0788          |
| 1.7207        | 1.96  | 15600 | 0.0806          |
| 0.9188        | 2.01  | 16000 | 0.0806          |
| 1.4303        | 2.06  | 16400 | 0.0814          |
| 0.1599        | 2.11  | 16800 | 0.1072          |
| 0.1976        | 2.16  | 17200 | 0.0823          |
| 0.7077        | 2.21  | 17600 | 0.0830          |
| 1.8896        | 2.26  | 18000 | 0.0768          |
| 0.6957        | 2.31  | 18400 | 0.0826          |
| 0.7827        | 2.36  | 18800 | 0.0802          |
| 1.3298        | 2.41  | 19200 | 0.0791          |
| 0.2254        | 2.46  | 19600 | 0.0871          |
| 1.041         | 2.51  | 20000 | 0.0809          |
| 1.5451        | 2.56  | 20400 | 0.0838          |
| 1.6318        | 2.61  | 20800 | 0.0801          |
| 1.8972        | 2.66  | 21200 | 0.0774          |
| 1.8895        | 2.71  | 21600 | 0.0762          |
| 0.7721        | 2.76  | 22000 | 0.0740          |
| 0.3528        | 2.81  | 22400 | 0.0781          |
| 1.325         | 2.86  | 22800 | 0.0770          |
| 0.0282        | 2.91  | 23200 | 0.0785          |
| 1.6303        | 2.96  | 23600 | 0.0760          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1
- Datasets 2.16.1
- Tokenizers 0.15.2