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medical_jargons_simplifier

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

  • Loss: 0.4405

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
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
3.2542 0.2017 500 0.5136
0.5482 0.4034 1000 0.4729
0.5112 0.6051 1500 0.4599
0.5042 0.8068 2000 0.4532
0.5043 1.0085 2500 0.4488
0.5085 1.2102 3000 0.4448
0.4692 1.4119 3500 0.4432
0.495 1.6136 4000 0.4416
0.4798 1.8152 4500 0.4405

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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