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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
datasets:
  - wmt16
metrics:
  - rouge
  - sacrebleu
model-index:
  - name: mt5_small_wmt16_de_en
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: wmt16
          type: wmt16
          config: de-en
          split: validation
          args: de-en
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.3666
          - name: Sacrebleu
            type: sacrebleu
            value: 6.4622

mt5_small_wmt16_de_en

This model is a fine-tuned version of google/mt5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 2.4612
  • Rouge1: 0.3666
  • Rouge2: 0.147
  • Rougel: 0.3362
  • Sacrebleu: 6.4622

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: 0.0005
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Sacrebleu
3.3059 1.6 500 2.5597 0.3398 0.1261 0.3068 5.5524
2.4093 3.2 1000 2.4996 0.3609 0.144 0.3304 6.2002
2.2322 4.8 1500 2.4612 0.3666 0.147 0.3362 6.4622

Framework versions

  • Transformers 4.32.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3