---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
model-index:
- name: ruT5-EmotionNeutralization-MCHS
  results: []
language:
- ru
license: mit
---

<!-- 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. -->

# results

This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4056

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0734        | 1.0   | 786  | 0.4548          |
| 0.5162        | 2.0   | 1572 | 0.4309          |
| 0.4561        | 3.0   | 2358 | 0.4134          |
| 0.4202        | 4.0   | 3144 | 0.4088          |
| 0.3939        | 5.0   | 3930 | 0.4072          |
| 0.3746        | 6.0   | 4716 | 0.4053          |
| 0.3637        | 7.0   | 5502 | 0.4054          |
| 0.3564        | 8.0   | 6288 | 0.4056          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1