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metadata
language:
  - en
license: apache-2.0
tags:
  - summarization
  - generated_from_trainer
datasets:
  - cnn_dailymail
metrics:
  - rouge
base_model: google/mt5-small
model-index:
  - name: mt5-small-cnn-dm-kaggle-en
    results: []

mt5-small-cnn-dm-kaggle-en

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

  • Loss: 3.2499
  • Rouge1: 25.24
  • Rouge2: 11.4243
  • Rougel: 22.1837
  • Rougelsum: 22.2212

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: 5.6e-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: 4

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
3.7959 1.0 2668 3.3796 24.6486 10.95 21.6027 21.6371
3.6116 2.0 5336 3.2863 25.0485 11.2204 21.9543 21.9949
3.5264 3.0 8004 3.2426 25.1151 11.2913 22.0778 22.1108
3.4845 4.0 10672 3.2499 25.24 11.4243 22.1837 22.2212

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3