transformers pytorch mt5 text2text-generation generated_from_trainer en ro dataset:wmt16 license:apache-2.0 model-index autotrain_compatible endpoints_compatible region:us
---
datasets:
- wmt16
language:
- en
- ro
license: apache-2.0
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: distilled-mt5-small-0.0-0.5
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: wmt16 ro-en
      type: wmt16
      args: ro-en
    metrics:
    - type: bleu
      value: 7.5838
      name: Bleu
---

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# distilled-mt5-small-0.0-0.5

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the wmt16 ro-en dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8994
- Bleu: 7.5838
- Gen Len: 45.058

## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1
