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t5_medical_diagnostic_peft

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7468
  • Rouge1: 0.4227
  • Rouge2: 0.2234
  • Rougel: 0.3594
  • Rougelsum: 0.3595
  • Gen Len: 17.5843

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: 0.001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
1.9974 0.2 500 1.7864 0.4167 0.221 0.3561 0.356 17.6092
1.9244 0.4 1000 1.7504 0.4166 0.2214 0.3577 0.3577 16.9937
1.9121 0.6 1500 1.7274 0.4209 0.2245 0.3593 0.3594 17.2876
1.8677 0.8 2000 1.7101 0.4253 0.2266 0.363 0.3631 17.5681
1.8927 1.0 2500 1.7468 0.4227 0.2234 0.3594 0.3595 17.5843

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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