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checkpoints

This model is a fine-tuned version of abdulllah01/checkpoints on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0983
  • Rouge1: 45.0287
  • Rouge2: 42.6235
  • Rougel: 44.7544
  • Rougelsum: 44.8438

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: 3
  • eval_batch_size: 3
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum
0.1839 1.0 150 0.0983 45.0287 42.6235 44.7544 44.8438

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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