---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-rebuilder
  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. -->

# t5-rebuilder

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: 0.1184
- Bleu: 94.1519
- Chrf: 97.4152
- Gen Len: 13.3872

## 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: 0.0003
- 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Chrf    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|
| 0.2957        | 1.0   | 3832  | 0.1915          | 87.926  | 94.6246 | 13.3604 |
| 0.1356        | 2.0   | 7664  | 0.1307          | 92.8051 | 96.7011 | 13.3754 |
| 0.0626        | 3.0   | 11496 | 0.1184          | 94.1519 | 97.4152 | 13.3872 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2