---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_t5_small_test
  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. -->

# my_t5_small_test

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: 2.2898
- Bleu: 5.3699
- Gen Len: 16.6005

## 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: 32
- eval_batch_size: 32
- 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 | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| No log        | 1.0   | 114  | 2.7730          | 3.0092 | 15.861  |
| No log        | 2.0   | 228  | 2.5655          | 3.9211 | 16.0397 |
| No log        | 3.0   | 342  | 2.4573          | 4.7281 | 16.4218 |
| No log        | 4.0   | 456  | 2.3735          | 5.0843 | 16.2531 |
| 3.5284        | 5.0   | 570  | 2.3490          | 5.7483 | 16.5533 |
| 3.5284        | 6.0   | 684  | 2.3254          | 5.6331 | 16.4963 |
| 3.5284        | 7.0   | 798  | 2.3095          | 5.6877 | 16.6898 |
| 3.5284        | 8.0   | 912  | 2.2949          | 5.6496 | 16.5583 |
| 2.6344        | 9.0   | 1026 | 2.2913          | 5.4792 | 16.6452 |
| 2.6344        | 10.0  | 1140 | 2.2898          | 5.3699 | 16.6005 |


### Framework versions

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