---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
model-index:
- name: ruT5-EmotionNeutralization
  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 anonymized Emergency calls dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3848
- ParaScore: 0.8265

## Model description

More information needed

## Intended uses & limitations

Neutralization of emotional speech

## 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


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1