metadata

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: >-
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          - type: loss
            value: 1.7407585382461548
            name: loss
            verified: true
            verifyToken: >-
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          - type: gen_len
            value: 18.2281
            name: gen_len
            verified: true
            verifyToken: >-
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finetuned-mt5-small-10epoch

This model is a fine-tuned version of 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