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metadata
license: apache-2.0
base_model: Falconsai/medical_summarization
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: t5-s20
    results: []

t5-s20

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

  • Loss: 2.5297
  • Rouge1: 28.8568
  • Rouge2: 13.0608
  • Rougel: 24.45
  • Rougelsum: 24.5154
  • Gen Len: 18.464

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 4
  • 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
3.0417 1.0 625 2.5297 28.8568 13.0608 24.45 24.5154 18.464

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2