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PubMedBert-abstract-cord19

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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - pritamdeka/cord-19-abstract
model-index:
  - name: PubMedBert-abstract-cord19
    results: []

pubmedbert-abstract-cord19

This model is a fine-tuned version of microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext on the pritamdeka/cord-19-abstract dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3005

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10000
  • num_epochs: 3.0
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.3774 0.15 5000 1.3212
1.3937 0.29 10000 1.4059
1.6812 0.44 15000 1.6174
1.4712 0.59 20000 1.4383
1.4293 0.73 25000 1.4356
1.4155 0.88 30000 1.4283
1.3963 1.03 35000 1.4135
1.3718 1.18 40000 1.3948
1.369 1.32 45000 1.3961
1.354 1.47 50000 1.3788
1.3399 1.62 55000 1.3866
1.3289 1.76 60000 1.3630
1.3155 1.91 65000 1.3609
1.2976 2.06 70000 1.3489
1.2783 2.2 75000 1.3333
1.2696 2.35 80000 1.3260
1.2607 2.5 85000 1.3232
1.2547 2.64 90000 1.3034
1.2495 2.79 95000 1.3035
1.2404 2.94 100000 1.3029

Framework versions

  • Transformers 4.17.0.dev0
  • Pytorch 1.10.0+cu111
  • Datasets 1.18.3
  • Tokenizers 0.11.0