---
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
    - type: loss
      value: 1.7407585382461548
      name: loss
      verified: true
    - type: gen_len
      value: 18.2281
      name: gen_len
      verified: true
  - task:
      type: translation
      name: Translation
    dataset:
      name: wmt16
      type: wmt16
      config: cs-en
      split: train
    metrics:
    - type: bleu
      value: 0.4125
      name: BLEU
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTUxNmNhNjY2Nzk3ZTRkOTM0ZjQ4ZDI2ZTZkZTBkMzBkYjc1Y2EyNmVlOWEzYjc3ZjIzOTA5MDk4M2RiMzgxMyIsInZlcnNpb24iOjF9.XzXIZo3AlYuFeaJwBcHJPFML4Um4MER4XbL3RDuwwZeOMDnqnMfspLcrbyvozyZjSC8JWWvpgJ192JflgDv1Cw
    - type: loss
      value: 6.76282262802124
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzI5ZDZkYzQxYTA3YzJjZWY0OWNhOGQ2YTIzOGJmMmY4NDQ4M2Y2ZTJmMWZiNWY0N2Y3Y2VjNDU4ZWMwZTM2OSIsInZlcnNpb24iOjF9.5yJy4N0hC3myiT0Q8kKNnKLbZnRiilaQA3dDxTNm7Sz-rNZqMTs9qUsX5S6Y4S4_hWD1Tny2xJle6o33IMDXBw
    - type: gen_len
      value: 18.4717
      name: gen_len
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDdmZGE4ZTg5MGI1MmE3NjFmYzE2MGMyNWJiNGFiYjUwNWRjYjExNmUyNDQ2ZGY1OWJkNWQ4M2U2ZGVmMDYwMSIsInZlcnNpb24iOjF9.YX8bVSFJKTvCyeWRrgwt3W9EVbL9IcC6T4n2LGkz1AHc2aB3e-l8Wwg_yzfI_W3HBmVDveLGw6I7qUg1YgCcAA
---
<!-- 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