transformers pytorch tensorboard t5 text2text-generation generated_from_trainer autotrain_compatible text-generation-inference endpoints_compatible region:us
---
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: t5-russian
  results: []
---

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# t5-russian

This model is a fine-tuned version of [UrukHan/t5-russian-summarization](https://huggingface.co/UrukHan/t5-russian-summarization) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5818
- Rouge1: 10.7717
- Rouge2: 2.1384
- Rougel: 10.7467
- Rougelsum: 10.6793
- Gen Len: 14.413

## 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: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 0.33
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 1.5917        | 0.22  | 5000 | 1.5818          | 10.7717 | 2.1384 | 10.7467 | 10.6793   | 14.413  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
