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intermezzo672/NHS-bluebert-binary-random

sourceHugging Facecc0-1.0updated 2y agoView on Hugging Face
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NHS-bluebert-binary-random

This model is a fine-tuned version of bionlp/bluebert_pubmed_uncased_L-12_H-768_A-12 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5886
  • Accuracy: 0.8126
  • Precision: 0.8063
  • Recall: 0.8047
  • F1: 0.8055

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: 3e-05
  • trainbatchsize: 16
  • evalbatchsize: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 6

Training results

Training LossEpochStepValidation LossAccuracyPrecisionRecallF1
0.05221.03970.41050.81140.80440.80940.8064
0.07342.07940.44930.79180.78940.79940.7894
1.39453.011910.58860.81260.80630.80470.8055

Framework versions

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