README.md

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:
          - name: BLEU
            type: bleu
            value: 6.0012
            verified: true
          - name: loss
            type: loss
            value: 1.7407585382461548
            verified: true
          - name: gen_len
            type: gen_len
            value: 18.2281
            verified: true

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