---
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base-en-ru
  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. -->

# mt5-base-en-ru

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7716
- Bleu: 13.1062
- Gen Len: 17.8687

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.856         | 1.0   | 9641  | 0.8368          | 12.1924 | 17.8903 |
| 0.8281        | 2.0   | 19282 | 0.8107          | 12.5703 | 17.8566 |
| 0.8017        | 3.0   | 28923 | 0.7904          | 12.7893 | 17.8793 |
| 0.7788        | 4.0   | 38564 | 0.7779          | 13.0086 | 17.8712 |
| 0.7673        | 5.0   | 48205 | 0.7716          | 13.1062 | 17.8687 |


### Framework versions

- Transformers 4.16.2
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.11.0