CoolFace
Modelpublic

NgechuJohn/distilbert-base-uncased-ICU-Readmission-classification_test1.1_ClinicalBERT

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes3downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

distilbert-base-uncased-ICU-Readmission-classificationtest1.1ClinicalBERT

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 1.3311
  • —F1: 0.5192

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
  • —trainbatchsize: 8
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossF1
0.63281.01250.67170.7654
0.71092.02500.69690.5385
0.51173.03750.70380.6179
0.50394.05000.76550.5487
0.4575.06250.82320.6667
0.6256.07500.98690.5472
0.85167.08751.23910.5234
0.20318.010001.20220.5094
0.05599.011251.27420.5143
0.050510.012501.33110.5192

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.44.0
  • —Pytorch 2.4.0
  • —Datasets 2.21.0
  • —Tokenizers 0.19.1