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small-3-6

This model is a fine-tuned version of cnn/small-3-6/ on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7320
  • Rouge1: 38.5733
  • Rouge2: 16.7984
  • Rougel: 27.1527
  • Rougelsum: 35.793
  • Gen Len: 78.1339

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: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.0+cu117
  • Datasets 2.7.1
  • Tokenizers 0.12.1
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Dataset used to train spacemanidol/flan-t5-small-3-6-cnndm

Evaluation results