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ClinicalT5-base-finetuned-biomedical

This model is a fine-tuned version of luqh/ClinicalT5-base on the sem_eval_2024_task_2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2017
  • Rouge1: 51.0
  • Rouge2: 0.0
  • Rougel: 51.0
  • Rougelsum: 51.0
  • Gen Len: 3.71

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: 2e-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
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 425 0.2227 49.5 0.0 49.5 49.5 3.015
1.7568 2.0 850 0.2053 49.0 0.0 49.0 49.0 3.09
0.227 3.0 1275 0.2012 51.0 0.0 51.0 51.0 3.24
0.2186 4.0 1700 0.2011 52.0 0.0 52.0 52.0 3.29
0.2173 5.0 2125 0.2017 51.0 0.0 51.0 51.0 3.71

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Evaluation results