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t5-base-cnndaily

This model is a fine-tuned version of north/t5_base_NCC_lm on the jkorsvik/cnn_daily_mail_nor_final dataset. It achieves the following results on the evaluation set:

  • eval_loss: 2.5736
  • eval_rouge1: 11.7206
  • eval_rouge2: 1.695
  • eval_rougeL: 8.9311
  • eval_rougeLsum: 10.6052
  • eval_gen_len: 54.8944
  • eval_runtime: 175.8203
  • eval_samples_per_second: 20.197
  • eval_steps_per_second: 0.631
  • step: 0

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20.0

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.10.1
  • Tokenizers 0.13.2
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Dataset used to train navjordj/t5-base-cnndaily