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led-base-16384-finetuned-cnn_dailymail

This model is a fine-tuned version of allenai/led-base-16384 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0670
  • Rouge1: 26.5966
  • Rouge2: 13.4937
  • Rougel: 22.1204
  • Rougelsum: 25.0057
  • Bleu 1: 4.81
  • Bleu 2: 3.2976
  • Bleu 3: 2.4273
  • Meteor: 13.4385
  • Lungime rezumat: 12.5033
  • Lungime original: 48.674

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: 8
  • eval_batch_size: 8
  • 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 Bleu 1 Bleu 2 Bleu 3 Meteor Lungime rezumat Lungime original
1.1488 1.0 7165 1.0638 26.6263 13.2802 22.0654 25.0416 4.7464 3.1681 2.2958 13.3027 12.5003 48.674
0.9202 2.0 14330 1.0475 26.5843 13.4795 22.083 25.0206 4.7096 3.1931 2.3493 13.3342 12.4533 48.674
0.7778 3.0 21495 1.0465 26.5754 13.4585 22.0522 24.9943 4.729 3.2152 2.3491 13.3759 12.455 48.674
0.6729 4.0 28660 1.0670 26.5966 13.4937 22.1204 25.0057 4.81 3.2976 2.4273 13.4385 12.5033 48.674

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.2.2+cu118
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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