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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - xsum
metrics:
  - rouge
model-index:
  - name: mt5-small-finetuned-xsum
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: xsum
          type: xsum
          args: default
        metrics:
          - name: Rouge1
            type: rouge
            value: 2.8351

mt5-small-finetuned-xsum

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

  • Loss: nan
  • Rouge1: 2.8351
  • Rouge2: 0.3143
  • Rougel: 2.6488
  • Rougelsum: 2.6463
  • Gen Len: 4.9416

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: 16
  • eval_batch_size: 16
  • 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
nan 1.0 12753 nan 2.8351 0.3143 2.6488 2.6463 4.9416

Framework versions

  • Transformers 4.10.2
  • Pytorch 1.9.0+cu102
  • Datasets 1.12.1
  • Tokenizers 0.10.3