Edit model card

base-6-1-t

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

  • Loss: 1.9488
  • Rouge1: 36.7469
  • Rouge2: 16.4835
  • Rougel: 27.609
  • Rougelsum: 34.2224
  • Gen Len: 67.6735

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: 2
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 32
  • 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
Downloads last month
9

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

Evaluation results