---
language:
- en
- ro
license: apache-2.0
tags:
- translation
- wmt16
- Lvxue
datasets:
- wmt16
metrics:
- sacrebleu
- bleu
model-index:
- name: Lvxue/finetuned-mt5-small-10epoch
  results:
  - task:
      type: translation
      name: Translation
    dataset:
      name: wmt16
      type: wmt16
      config: ro-en
      split: test
    metrics:
    - type: bleu
      value: 6.0012
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzAwOGM0NWI2ODYxNTcyOWZmZGYxMzZmM2RhZjYzZTc4ZDk4MTBkYzJiNjY3MjYxNDI3ZTBjYmY0Mzc4NGZhOCIsInZlcnNpb24iOjF9.kx434Ckp7xt_qfxxaJ2XTXJjUUDbNUCY-gRDCSe_FPeVec69Fap3NhL4u9hZioaNbTqpXxNwMHGRnkgjJ1jHAw
    - type: loss
      value: 1.7407585382461548
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGRhMjYwYTY4YzNhNjQ0ZjlhM2IxMDQ1OWZjOWRmZjNhNGRhODc1NmE3Y2M4ODg3NzRjZWU2ZDU1MWZlZGUxNSIsInZlcnNpb24iOjF9.IHuQPWQp4xxuAOVvkmFdJQGa4uqBYq5_aS0uiK3uqTgfxSnxqFawLfgE2ou5RnRHFPiEQ4h5m_DDAjZBxBSLAA
    - type: gen_len
      value: 18.2281
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2ZiYTA5MzBkZDExY2FlNThjZDAxYmJiZjI2NjkzMDU2OTRjOGU1NjNiNjNmNGJkODk4MTg0YmI1Y2U5ZTY0YiIsInZlcnNpb24iOjF9.5XEsIvtfSnmnEvQg3GVVmVcURti_Jw3hSLQryeoAfgdLw6GEqKqIcu-WHsWnc6-9EDMfLQahrQneNlKpe8xDDw
---
<!-- 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. -->

# finetuned-mt5-small-10epoch

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: 1.7274

## 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: 48
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results



### Framework versions

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