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npark95/finetuned_ClinicalLongformer_negsampling_llama_1090

sourceHugging Faceupdated 2y agoView on Hugging Face
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finetunedClinicalLongformernegsamplingllama1090

This model is a fine-tuned version of yikuan8/Clinical-Longformer on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1339
  • —F1: 0.8971

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
0.09551.01890.10670.8062
0.11432.03780.09990.8636
0.10163.05670.12180.8529
0.04954.07560.10190.8690
0.15655.09450.14870.8702
0.01566.011340.13700.8777
0.01057.013230.12970.8841
0.04178.015120.14560.8592
0.01799.017010.14140.8921
0.01610.018900.13390.8971

Framework versions

  • —Transformers 4.48.0
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0