metadata

license: mit
base_model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: pubmed-bert-squad-covidqa
    results: []

pubmed-bert-squad-covidqa

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

eval_loss: 1.0031
eval_runtime: 150.8766
eval_samples_per_second: 70.057
eval_steps_per_second: 2.194
epoch: 2.0
step: 5476

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

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3