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my_awesome_eli5_mlm_model

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metadata
license: mit
base_model: microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_eli5_mlm_model
    results: []

my_awesome_eli5_mlm_model

This model is a fine-tuned version of microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract-fulltext on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1650

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: 2e-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
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
0.0282 1.0 157 0.1593
0.0205 2.0 314 0.1629
0.0267 3.0 471 0.1604
0.0207 4.0 628 0.1591
0.0122 5.0 785 0.1619
0.0087 6.0 942 0.1626
0.0065 7.0 1099 0.1644
0.0051 8.0 1256 0.1649
0.0042 9.0 1413 0.1650
0.0041 10.0 1570 0.1650

Framework versions

  • Transformers 4.39.0
  • Pytorch 2.2.1
  • Datasets 2.18.0
  • Tokenizers 0.15.2