---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-rebuilder-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-rebuilder-v2

This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2206
- Bleu: 86.0134
- Chrf: 93.6573
- Gen Len: 13.4007

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|
| 0.4463        | 1.0   | 4321  | 0.3205          | 78.6613 | 90.2004 | 13.2967 |
| 0.24          | 2.0   | 8642  | 0.2379          | 84.2763 | 92.7898 | 13.394  |
| 0.118         | 3.0   | 12963 | 0.2206          | 86.0134 | 93.6573 | 13.4007 |


### Framework versions

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