metadata

license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
  - generated_from_trainer
model-index:
  - name: bert-qa-mash-covid
    results: []

bert-qa-mash-covid

This model is a fine-tuned version of google/bigbird-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.0374
eval_runtime: 24.4457
eval_samples_per_second: 63.978
eval_steps_per_second: 4.009
epoch: 1.0
step: 657

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2