metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - covid_qa_deepset
base_model: roberta-base
model-index:
  - name: roberta-finetuned-covidqa
    results: []

roberta-finetuned-covidqa

This model is a fine-tuned version of roberta-base on the covid_qa_deepset dataset.

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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3