Edit model card

large-6-1-t

This model is a fine-tuned version of 6-1 on the cnn_dailymail 3.0.0 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6639
  • Rouge1: 41.4182
  • Rouge2: 19.4871
  • Rougel: 30.3528
  • Rougelsum: 38.7818
  • Gen Len: 70.3855

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: 30
  • eval_batch_size: 12
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 60
  • 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 4.27.1
  • Pytorch 1.12.0+cu116
  • Datasets 2.4.0
  • Tokenizers 0.13.2
Downloads last month
9

Dataset used to train spacemanidol/flan-t5-large-6-1-cnndm

Evaluation results