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asril-pegasus

This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0562

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
4.4062 0.1046 1000 1.3928
1.5209 0.2092 2000 1.2535
1.3845 0.3138 3000 1.1791
1.3249 0.4184 4000 1.1339
1.275 0.5230 5000 1.1066
1.235 0.6275 6000 1.0857
1.2299 0.7321 7000 1.0743
1.2036 0.8367 8000 1.0645
1.2115 0.9413 9000 1.0579

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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