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End of training
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metadata
license: mit
base_model: Sarmila/pubmed-bert-mlm
tags:
  - generated_from_trainer
datasets:
  - covid_qa_deepset
model-index:
  - name: pubmed-bert-mlm-squad-covidqa
    results: []

pubmed-bert-mlm-squad-covidqa

This model is a fine-tuned version of Sarmila/pubmed-bert-mlm on the covid_qa_deepset dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5812

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 51 0.5056
No log 2.0 102 0.5423
No log 3.0 153 0.5812

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3