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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xlsum
metrics:
  - rouge
model-index:
  - name: mt5-small-finetuned-xlsum-chinese-tradition
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xlsum
          type: xlsum
          args: chinese_traditional
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.2578

mt5-small-finetuned-xlsum-chinese-tradition

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

  • Loss: nan
  • Rouge1: 0.2578
  • Rouge2: 0.0176
  • Rougel: 0.2519
  • Rougelsum: 0.2542
  • Gen Len: 6.094

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: 2e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.0 1.0 18687 nan 0.2578 0.0176 0.2519 0.2542 6.094

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1