---
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: 2.2583
- Bleu: 5.4572
- Gen Len: 16.7742

## 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  | 2.4430          | 4.6333 | 16.5434 |
| No log        | 2.0   | 228  | 2.3997          | 5.0426 | 16.397  |
| No log        | 3.0   | 342  | 2.3420          | 5.4095 | 16.4839 |
| No log        | 4.0   | 456  | 2.3057          | 5.1802 | 16.5782 |
| 2.7713        | 5.0   | 570  | 2.2985          | 5.6607 | 16.5831 |
| 2.7713        | 6.0   | 684  | 2.2824          | 5.5811 | 16.5757 |
| 2.7713        | 7.0   | 798  | 2.2759          | 6.1988 | 16.7221 |
| 2.7713        | 8.0   | 912  | 2.2611          | 5.6654 | 16.7097 |
| 2.5304        | 9.0   | 1026 | 2.2586          | 5.839  | 16.8065 |
| 2.5304        | 10.0  | 1140 | 2.2583          | 5.4572 | 16.7742 |


### Framework versions

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