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finetuned_bartbase_on_medi_data

This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1259
  • Rouge1: 0.8208
  • Rouge2: 0.6644
  • Rougel: 0.7467
  • Rougelsum: 0.7542
  • Gen Len: 75.0167

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: 2.660730299084495e-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
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 175 0.1297 0.812 0.6479 0.7393 0.7477 76.0533
No log 2.0 350 0.1037 0.817 0.6546 0.7393 0.7497 77.2933
0.0519 3.0 525 0.1095 0.8196 0.6656 0.7504 0.7588 75.38
0.0519 4.0 700 0.1157 0.8141 0.6539 0.7397 0.7494 76.3633
0.0519 5.0 875 0.1259 0.8208 0.6644 0.7467 0.7542 75.0167

Framework versions

  • Transformers 4.30.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.13.3
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Dataset used to train Madan490/finetuned_bartbase_on_medi_data