---
base_model: UrukHan/t5-russian-spell
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-russian-spell
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-russian-spell

This model is a fine-tuned version of [UrukHan/t5-russian-spell](https://huggingface.co/UrukHan/t5-russian-spell) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 7.9129
- Rouge1: 0.1767
- Rouge2: 0.0
- Rougel: 0.1783
- Rougelsum: 0.1774
- Gen Len: 198.0413

## 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: 5e-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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
| 7.8172        | 9.01  | 5000 | 7.9129          | 0.1767 | 0.0    | 0.1783 | 0.1774    | 198.0413 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0